From 5b70c99a56e16f98e9daae1c87a6818e6e8f9ae6 Mon Sep 17 00:00:00 2001 From: qddyy Date: Wed, 18 Dec 2024 07:17:09 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20qddyy/Le?= =?UTF-8?q?arnNonparam@a3e1ed2fb5176fb6bba204669ca80b7ff6b370cd=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- LICENSE.html | 2 +- authors.html | 2 +- news/index.html | 2 +- pkgdown.yml | 2 +- reference/AnsariBradley.html | 2 +- reference/CDF.html | 2 +- reference/ChiSquare.html | 2 +- reference/ContingencyTableTest.html | 2 +- reference/Correlation.html | 2 +- reference/Difference.html | 2 +- reference/Friedman.html | 2 +- reference/JonckheereTerpstra.html | 2 +- reference/KSampleTest.html | 2 +- reference/KolmogorovSmirnov.html | 2 +- reference/KruskalWallis.html | 2 +- reference/MultipleComparison.html | 2 +- reference/OneSampleTest.html | 2 +- reference/OneWay.html | 2 +- reference/Page.html | 2 +- reference/PairedDifference.html | 2 +- reference/PermuTest.html | 2 +- reference/Quantile.html | 2 +- reference/RCBDOneWay.html | 2 +- reference/RCBDTest.html | 2 +- reference/RatioMeanDeviance.html | 2 +- reference/ScoreSum.html | 2 +- reference/SiegelTukey.html | 2 +- reference/Sign.html | 2 +- reference/Studentized.html | 2 +- reference/Table1.1.1.html | 2 +- reference/Table1.2.1.html | 2 +- reference/Table2.1.1.html | 2 +- reference/Table2.3.1.html | 2 +- reference/Table2.6.1.html | 2 +- reference/Table2.6.2.html | 2 +- reference/Table2.8.1.html | 2 +- reference/Table3.1.2.html | 2 +- reference/Table3.2.2.html | 2 +- reference/Table3.2.3.html | 2 +- reference/Table3.3.1.html | 2 +- reference/Table3.4.1.html | 2 +- reference/Table4.1.1.html | 2 +- reference/Table4.1.3.html | 2 +- reference/Table4.4.3.html | 2 +- reference/Table4.5.3.html | 2 +- reference/Table5.1.2.html | 2 +- reference/Table5.2.2.html | 2 +- reference/Table5.4.2.html | 2 +- reference/TwoSampleAssociationTest.html | 2 +- reference/TwoSampleLocationTest.html | 2 +- reference/TwoSamplePairedTest.html | 2 +- reference/TwoSampleTest.html | 2 +- reference/Wilcoxon.html | 2 +- reference/pmt.html | 6 +++--- search.json | 2 +- 55 files changed, 57 insertions(+), 57 deletions(-) diff --git a/LICENSE.html b/LICENSE.html index d864207..03eeccc 100644 --- a/LICENSE.html +++ b/LICENSE.html @@ -28,7 +28,7 @@

GNU General Public License

- Source: LICENSE.md + Source: LICENSE.md
diff --git a/authors.html b/authors.html index 3589566..540ebd0 100644 --- a/authors.html +++ b/authors.html @@ -41,7 +41,7 @@

Authors

Citation

-

Source: DESCRIPTION

+

Source: DESCRIPTION

Du Y (2024). LearnNonparam: 'R6'-Based Flexible Framework for Permutation Tests. diff --git a/news/index.html b/news/index.html index e297f28..8b5ddc5 100644 --- a/news/index.html +++ b/news/index.html @@ -28,7 +28,7 @@

Changelog

- Source: NEWS.md + Source: NEWS.md
diff --git a/pkgdown.yml b/pkgdown.yml index ae33e5e..380de1d 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -2,7 +2,7 @@ pandoc: 3.1.11 pkgdown: 2.1.1 pkgdown_sha: ~ articles: {} -last_built: 2024-12-18T00:45Z +last_built: 2024-12-18T07:16Z urls: reference: https://qddyy.github.io/LearnNonparam/reference article: https://qddyy.github.io/LearnNonparam/articles diff --git a/reference/AnsariBradley.html b/reference/AnsariBradley.html index 0437b8d..ed38263 100644 --- a/reference/AnsariBradley.html +++ b/reference/AnsariBradley.html @@ -28,7 +28,7 @@

Ansari-Bradley Test

- Source: R/AnsariBradley.R + Source: R/AnsariBradley.R
AnsariBradley.Rd
diff --git a/reference/CDF.html b/reference/CDF.html index 881f61e..9faf276 100644 --- a/reference/CDF.html +++ b/reference/CDF.html @@ -28,7 +28,7 @@

Inference on Cumulative Distribution Function

- Source: R/CDF.R + Source: R/CDF.R
CDF.Rd
diff --git a/reference/ChiSquare.html b/reference/ChiSquare.html index b8a957b..55337eb 100644 --- a/reference/ChiSquare.html +++ b/reference/ChiSquare.html @@ -28,7 +28,7 @@

Chi-Square Test on Contingency Table

- Source: R/ChiSquare.R + Source: R/ChiSquare.R
ChiSquare.Rd
diff --git a/reference/ContingencyTableTest.html b/reference/ContingencyTableTest.html index 0385b92..d800bf2 100644 --- a/reference/ContingencyTableTest.html +++ b/reference/ContingencyTableTest.html @@ -28,7 +28,7 @@

ContingencyTableTest Class

- Source: R/ContingencyTableTest.R + Source: R/ContingencyTableTest.R
ContingencyTableTest.Rd
diff --git a/reference/Correlation.html b/reference/Correlation.html index 473e42d..eda6018 100644 --- a/reference/Correlation.html +++ b/reference/Correlation.html @@ -28,7 +28,7 @@

Test for Association Between Paired Samples

- Source: R/Correlation.R + Source: R/Correlation.R
Correlation.Rd
diff --git a/reference/Difference.html b/reference/Difference.html index 60d256f..e590168 100644 --- a/reference/Difference.html +++ b/reference/Difference.html @@ -28,7 +28,7 @@

Two-Sample Test Based on Mean or Median

- Source: R/Difference.R + Source: R/Difference.R
Difference.Rd
diff --git a/reference/Friedman.html b/reference/Friedman.html index 5fc71f2..6dbc72e 100644 --- a/reference/Friedman.html +++ b/reference/Friedman.html @@ -28,7 +28,7 @@

Friedman Test

- Source: R/Friedman.R + Source: R/Friedman.R
Friedman.Rd
diff --git a/reference/JonckheereTerpstra.html b/reference/JonckheereTerpstra.html index 46a2f4b..59a7616 100644 --- a/reference/JonckheereTerpstra.html +++ b/reference/JonckheereTerpstra.html @@ -28,7 +28,7 @@

Jonckheere-Terpstra Test

- Source: R/JonckheereTerpstra.R + Source: R/JonckheereTerpstra.R
JonckheereTerpstra.Rd
diff --git a/reference/KSampleTest.html b/reference/KSampleTest.html index eb15c52..e19bee8 100644 --- a/reference/KSampleTest.html +++ b/reference/KSampleTest.html @@ -28,7 +28,7 @@

KSampleTest Class

- Source: R/KSampleTest.R + Source: R/KSampleTest.R
KSampleTest.Rd
diff --git a/reference/KolmogorovSmirnov.html b/reference/KolmogorovSmirnov.html index 873b566..fc6e79a 100644 --- a/reference/KolmogorovSmirnov.html +++ b/reference/KolmogorovSmirnov.html @@ -28,7 +28,7 @@

Two-Sample Kolmogorov-Smirnov Test

- Source: R/KolmogorovSmirnov.R + Source: R/KolmogorovSmirnov.R
KolmogorovSmirnov.Rd
diff --git a/reference/KruskalWallis.html b/reference/KruskalWallis.html index d27cb6c..ab637f3 100644 --- a/reference/KruskalWallis.html +++ b/reference/KruskalWallis.html @@ -28,7 +28,7 @@

Kruskal-Wallis Test

- Source: R/KruskalWallis.R + Source: R/KruskalWallis.R
KruskalWallis.Rd
diff --git a/reference/MultipleComparison.html b/reference/MultipleComparison.html index bf46faa..18059c6 100644 --- a/reference/MultipleComparison.html +++ b/reference/MultipleComparison.html @@ -28,7 +28,7 @@

MultipleComparison Class

- Source: R/MultipleComparison.R + Source: R/MultipleComparison.R
MultipleComparison.Rd
diff --git a/reference/OneSampleTest.html b/reference/OneSampleTest.html index c55b668..f7ef685 100644 --- a/reference/OneSampleTest.html +++ b/reference/OneSampleTest.html @@ -28,7 +28,7 @@

OneSampleTest Class

- Source: R/OneSampleTest.R + Source: R/OneSampleTest.R
OneSampleTest.Rd
diff --git a/reference/OneWay.html b/reference/OneWay.html index 98ee47c..e54e9f0 100644 --- a/reference/OneWay.html +++ b/reference/OneWay.html @@ -28,7 +28,7 @@

One-Way Test for Equal Means

- Source: R/OneWay.R + Source: R/OneWay.R
OneWay.Rd
diff --git a/reference/Page.html b/reference/Page.html index 0d8b2f3..3200f83 100644 --- a/reference/Page.html +++ b/reference/Page.html @@ -28,7 +28,7 @@

Page Test

- Source: R/Page.R + Source: R/Page.R
Page.Rd
diff --git a/reference/PairedDifference.html b/reference/PairedDifference.html index 51e603f..df6a010 100644 --- a/reference/PairedDifference.html +++ b/reference/PairedDifference.html @@ -28,7 +28,7 @@

Paired Comparison Based on Differences

- Source: R/PairedDifference.R + Source: R/PairedDifference.R
PairedDifference.Rd
diff --git a/reference/PermuTest.html b/reference/PermuTest.html index 4f2eaaf..34e0d12 100644 --- a/reference/PermuTest.html +++ b/reference/PermuTest.html @@ -28,7 +28,7 @@

PermuTest Class

- Source: R/PermuTest.R + Source: R/PermuTest.R
PermuTest.Rd
diff --git a/reference/Quantile.html b/reference/Quantile.html index ec54bcd..d39dd49 100644 --- a/reference/Quantile.html +++ b/reference/Quantile.html @@ -28,7 +28,7 @@

Quantile Test

- Source: R/Quantile.R + Source: R/Quantile.R
Quantile.Rd
diff --git a/reference/RCBDOneWay.html b/reference/RCBDOneWay.html index d8a3ed9..518d3d3 100644 --- a/reference/RCBDOneWay.html +++ b/reference/RCBDOneWay.html @@ -28,7 +28,7 @@

One-Way Test for Equal Means in RCBD

- Source: R/RCBDOneWay.R + Source: R/RCBDOneWay.R
RCBDOneWay.Rd
diff --git a/reference/RCBDTest.html b/reference/RCBDTest.html index 76ee0b3..f6fd7e0 100644 --- a/reference/RCBDTest.html +++ b/reference/RCBDTest.html @@ -28,7 +28,7 @@

RCBDTest Class

- Source: R/RCBDTest.R + Source: R/RCBDTest.R
RCBDTest.Rd
diff --git a/reference/RatioMeanDeviance.html b/reference/RatioMeanDeviance.html index 6fc89f7..b883cd2 100644 --- a/reference/RatioMeanDeviance.html +++ b/reference/RatioMeanDeviance.html @@ -28,7 +28,7 @@

Ratio Mean Deviance Test

- Source: R/RatioMeanDeviance.R + Source: R/RatioMeanDeviance.R
RatioMeanDeviance.Rd
diff --git a/reference/ScoreSum.html b/reference/ScoreSum.html index 3dd9479..b967742 100644 --- a/reference/ScoreSum.html +++ b/reference/ScoreSum.html @@ -28,7 +28,7 @@

Two-Sample Test Based on Sum of Scores

- Source: R/ScoreSum.R + Source: R/ScoreSum.R
ScoreSum.Rd
diff --git a/reference/SiegelTukey.html b/reference/SiegelTukey.html index 8bd9141..7df1dcd 100644 --- a/reference/SiegelTukey.html +++ b/reference/SiegelTukey.html @@ -28,7 +28,7 @@

Siegel-Tukey Test

- Source: R/SiegelTukey.R + Source: R/SiegelTukey.R
SiegelTukey.Rd
diff --git a/reference/Sign.html b/reference/Sign.html index cbac352..daaf4e8 100644 --- a/reference/Sign.html +++ b/reference/Sign.html @@ -28,7 +28,7 @@

Two-Sample Sign Test

- Source: R/Sign.R + Source: R/Sign.R
Sign.Rd
diff --git a/reference/Studentized.html b/reference/Studentized.html index 5dec8eb..45ad425 100644 --- a/reference/Studentized.html +++ b/reference/Studentized.html @@ -28,7 +28,7 @@

Multiple Comparison Based on Studentized Statistic

- Source: R/Studentized.R + Source: R/Studentized.R
Studentized.Rd
diff --git a/reference/Table1.1.1.html b/reference/Table1.1.1.html index 634801e..80ddfd5 100644 --- a/reference/Table1.1.1.html +++ b/reference/Table1.1.1.html @@ -28,7 +28,7 @@

Sodium Contents

- Source: R/data.R + Source: R/data.R
Table1.1.1.Rd
diff --git a/reference/Table1.2.1.html b/reference/Table1.2.1.html index f6d6efd..10b3201 100644 --- a/reference/Table1.2.1.html +++ b/reference/Table1.2.1.html @@ -28,7 +28,7 @@

Cycles Until Failure

- Source: R/data.R + Source: R/data.R
Table1.2.1.Rd
diff --git a/reference/Table2.1.1.html b/reference/Table2.1.1.html index f4ee173..f0d553d 100644 --- a/reference/Table2.1.1.html +++ b/reference/Table2.1.1.html @@ -28,7 +28,7 @@

Test Scores

- Source: R/data.R + Source: R/data.R
Table2.1.1.Rd
diff --git a/reference/Table2.3.1.html b/reference/Table2.3.1.html index b298c4f..bd27200 100644 --- a/reference/Table2.3.1.html +++ b/reference/Table2.3.1.html @@ -28,7 +28,7 @@

Runoff Minutes

- Source: R/data.R + Source: R/data.R
Table2.3.1.Rd
diff --git a/reference/Table2.6.1.html b/reference/Table2.6.1.html index 7bb28d3..efdbadc 100644 --- a/reference/Table2.6.1.html +++ b/reference/Table2.6.1.html @@ -28,7 +28,7 @@

Hours Until Recharge

- Source: R/data.R + Source: R/data.R
Table2.6.1.Rd
diff --git a/reference/Table2.6.2.html b/reference/Table2.6.2.html index 3efb295..ca3efbc 100644 --- a/reference/Table2.6.2.html +++ b/reference/Table2.6.2.html @@ -28,7 +28,7 @@

Cerium Amounts

- Source: R/data.R + Source: R/data.R
Table2.6.2.Rd
diff --git a/reference/Table2.8.1.html b/reference/Table2.8.1.html index 932f4c1..828f0db 100644 --- a/reference/Table2.8.1.html +++ b/reference/Table2.8.1.html @@ -28,7 +28,7 @@

Ounces Of Beverage

- Source: R/data.R + Source: R/data.R
Table2.8.1.Rd
diff --git a/reference/Table3.1.2.html b/reference/Table3.1.2.html index 7f87183..4b94681 100644 --- a/reference/Table3.1.2.html +++ b/reference/Table3.1.2.html @@ -28,7 +28,7 @@

Normal Samples

- Source: R/data.R + Source: R/data.R
Table3.1.2.Rd
diff --git a/reference/Table3.2.2.html b/reference/Table3.2.2.html index cf3586c..ff928e2 100644 --- a/reference/Table3.2.2.html +++ b/reference/Table3.2.2.html @@ -28,7 +28,7 @@

Logarithms of Bacteria Counts

- Source: R/data.R + Source: R/data.R
Table3.2.2.Rd
diff --git a/reference/Table3.2.3.html b/reference/Table3.2.3.html index 1418e0f..4628b7a 100644 --- a/reference/Table3.2.3.html +++ b/reference/Table3.2.3.html @@ -28,7 +28,7 @@

Saltiness Scores

- Source: R/data.R + Source: R/data.R
Table3.2.3.Rd
diff --git a/reference/Table3.3.1.html b/reference/Table3.3.1.html index 21b43f2..3991d5f 100644 --- a/reference/Table3.3.1.html +++ b/reference/Table3.3.1.html @@ -28,7 +28,7 @@

Percentages of Clay

- Source: R/data.R + Source: R/data.R
Table3.3.1.Rd
diff --git a/reference/Table3.4.1.html b/reference/Table3.4.1.html index b2cd13a..bd8a614 100644 --- a/reference/Table3.4.1.html +++ b/reference/Table3.4.1.html @@ -28,7 +28,7 @@

Phosphorus Contents

- Source: R/data.R + Source: R/data.R
Table3.4.1.Rd
diff --git a/reference/Table4.1.1.html b/reference/Table4.1.1.html index 9a14e8c..c04bee2 100644 --- a/reference/Table4.1.1.html +++ b/reference/Table4.1.1.html @@ -28,7 +28,7 @@

Caloric Intake

- Source: R/data.R + Source: R/data.R
Table4.1.1.Rd
diff --git a/reference/Table4.1.3.html b/reference/Table4.1.3.html index 6993770..275c208 100644 --- a/reference/Table4.1.3.html +++ b/reference/Table4.1.3.html @@ -28,7 +28,7 @@

Cholesterol Reduction

- Source: R/data.R + Source: R/data.R
Table4.1.3.Rd
diff --git a/reference/Table4.4.3.html b/reference/Table4.4.3.html index 4884580..21f2f88 100644 --- a/reference/Table4.4.3.html +++ b/reference/Table4.4.3.html @@ -28,7 +28,7 @@

Yield Data

- Source: R/data.R + Source: R/data.R
Table4.4.3.Rd
diff --git a/reference/Table4.5.3.html b/reference/Table4.5.3.html index cd029b9..0978357 100644 --- a/reference/Table4.5.3.html +++ b/reference/Table4.5.3.html @@ -28,7 +28,7 @@

Randomized Complete Block with Ties

- Source: R/data.R + Source: R/data.R
Table4.5.3.Rd
diff --git a/reference/Table5.1.2.html b/reference/Table5.1.2.html index 6b0c741..804330e 100644 --- a/reference/Table5.1.2.html +++ b/reference/Table5.1.2.html @@ -28,7 +28,7 @@

Heterophils and Lymphocytes

- Source: R/data.R + Source: R/data.R
Table5.1.2.Rd
diff --git a/reference/Table5.2.2.html b/reference/Table5.2.2.html index 7fae15b..b98f223 100644 --- a/reference/Table5.2.2.html +++ b/reference/Table5.2.2.html @@ -28,7 +28,7 @@

Scores of Projects

- Source: R/data.R + Source: R/data.R
Table5.2.2.Rd
diff --git a/reference/Table5.4.2.html b/reference/Table5.4.2.html index fa9ff7c..4460c28 100644 --- a/reference/Table5.4.2.html +++ b/reference/Table5.4.2.html @@ -28,7 +28,7 @@

Satisfaction with Pain-Relief Treatment

- Source: R/data.R + Source: R/data.R
Table5.4.2.Rd
diff --git a/reference/TwoSampleAssociationTest.html b/reference/TwoSampleAssociationTest.html index abaedfb..a834348 100644 --- a/reference/TwoSampleAssociationTest.html +++ b/reference/TwoSampleAssociationTest.html @@ -28,7 +28,7 @@

TwoSampleAssociationTest Class

- Source: R/TwoSampleAssociationTest.R + Source: R/TwoSampleAssociationTest.R
TwoSampleAssociationTest.Rd
diff --git a/reference/TwoSampleLocationTest.html b/reference/TwoSampleLocationTest.html index 0a2ce56..98575b5 100644 --- a/reference/TwoSampleLocationTest.html +++ b/reference/TwoSampleLocationTest.html @@ -28,7 +28,7 @@

TwoSampleLocationTest Class

- Source: R/TwoSampleLocationTest.R + Source: R/TwoSampleLocationTest.R
TwoSampleLocationTest.Rd
diff --git a/reference/TwoSamplePairedTest.html b/reference/TwoSamplePairedTest.html index 88fd1a0..681ea0b 100644 --- a/reference/TwoSamplePairedTest.html +++ b/reference/TwoSamplePairedTest.html @@ -28,7 +28,7 @@

TwoSamplePairedTest Class

- Source: R/TwoSamplePairedTest.R + Source: R/TwoSamplePairedTest.R
TwoSamplePairedTest.Rd
diff --git a/reference/TwoSampleTest.html b/reference/TwoSampleTest.html index f7ed825..9fca83d 100644 --- a/reference/TwoSampleTest.html +++ b/reference/TwoSampleTest.html @@ -28,7 +28,7 @@

TwoSampleTest Class

- Source: R/TwoSampleTest.R + Source: R/TwoSampleTest.R
TwoSampleTest.Rd
diff --git a/reference/Wilcoxon.html b/reference/Wilcoxon.html index 04d36d8..074abdd 100644 --- a/reference/Wilcoxon.html +++ b/reference/Wilcoxon.html @@ -28,7 +28,7 @@

Two-Sample Wilcoxon Test

- Source: R/Wilcoxon.R + Source: R/Wilcoxon.R
Wilcoxon.Rd
diff --git a/reference/pmt.html b/reference/pmt.html index dfbdb39..d6236a3 100644 --- a/reference/pmt.html +++ b/reference/pmt.html @@ -28,7 +28,7 @@

Syntactic Sugar for Object Construction

- Source: R/pmt.R + Source: R/pmt.R
pmt.Rd
@@ -267,10 +267,10 @@

Examplesoptions(LearnNonparam.pmt_progress = FALSE) system.time(r$test(x, y)) #> user system elapsed -#> 0.129 0.000 0.129 +#> 0.132 0.000 0.132 system.time(rcpp$test(x, y)) #> user system elapsed -#> 0.008 0.000 0.009 +#> 0.009 0.000 0.009 # }

diff --git a/search.json b/search.json index a478ba3..f0cadfe 100644 --- a/search.json +++ b/search.json @@ -1 +1 @@ -[{"path":"https://qddyy.github.io/LearnNonparam/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU General Public License","title":"GNU General Public License","text":"Version 2, June 1991Copyright © 1989, 1991 Free Software Foundation, Inc.,51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA Everyone permitted copy distribute verbatim copies license document, changing allowed.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/LICENSE.html","id":"preamble","dir":"","previous_headings":"","what":"Preamble","title":"GNU General Public License","text":"licenses software designed take away freedom share change . contrast, GNU General Public License intended guarantee freedom share change free software–make sure software free users. General Public License applies Free Software Foundation’s software program whose authors commit using . 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END TERMS CONDITIONS","code":""},{"path":"https://qddyy.github.io/LearnNonparam/LICENSE.html","id":"how-to-apply-these-terms-to-your-new-programs","dir":"","previous_headings":"","what":"How to Apply These Terms to Your New Programs","title":"GNU General Public License","text":"develop new program, want greatest possible use public, best way achieve make free software everyone can redistribute change terms. , attach following notices program. safest attach start source file effectively convey exclusion warranty; file least “copyright” line pointer full notice found. Also add information contact electronic paper mail. program interactive, make output short notice like starts interactive mode: hypothetical commands show w show c show appropriate parts General Public License. course, commands use may called something show w show c; even mouse-clicks menu items–whatever suits program. also get employer (work programmer) school, , sign “copyright disclaimer” program, necessary. sample; alter names: General Public License permit incorporating program proprietary programs. program subroutine library, may consider useful permit linking proprietary applications library. want , use GNU Lesser General Public License instead License.","code":" Copyright (C) This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. Gnomovision version 69, Copyright (C) year name of author Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. Yoyodyne, Inc., hereby disclaims all copyright interest in the program `Gnomovision' (which makes passes at compilers) written by James Hacker. , 1 April 1989 Ty Coon, President of Vice"},{"path":"https://qddyy.github.io/LearnNonparam/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Yan Du. Author, maintainer.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Du Y (2024). LearnNonparam: 'R6'-Based Flexible Framework Permutation Tests. R package version 1.2.6, https://qddyy.github.io/LearnNonparam/, https://github.com/qddyy/LearnNonparam.","code":"@Manual{, title = {LearnNonparam: 'R6'-Based Flexible Framework for Permutation Tests}, author = {Yan Du}, year = {2024}, note = {R package version 1.2.6, https://qddyy.github.io/LearnNonparam/}, url = {https://github.com/qddyy/LearnNonparam}, }"},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/index.html","id":"overview","dir":"","previous_headings":"","what":"Overview","title":"R6-Based Flexible Framework for Permutation Tests","text":"R package implements several non-parametric tests chapters 1-5 Higgins (2004), including tests one sample, two samples, k samples, paired comparisons, blocked designs, trends association. Built Rcpp efficiency R6 flexible, object-oriented design, provides unified framework performing creating custom permutation tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"R6-Based Flexible Framework for Permutation Tests","text":"Install stable version CRAN: Install development version Github:","code":"install.packages(\"LearnNonparam\") # install.packages(\"remotes\") remotes::install_github(\"qddyy/LearnNonparam\")"},{"path":"https://qddyy.github.io/LearnNonparam/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"R6-Based Flexible Framework for Permutation Tests","text":"Construct test object R6 class directly using pmt (permutation test) wrapper Provide samples Check results Modify settings observe change define_pmt allows users define new permutation tests. Take two-sample Cramér-Von Mises test example:","code":"library(LearnNonparam) options(LearnNonparam.pmt_progress = TRUE) t <- Wilcoxon$new(n_permu = 1e6) # recommended for a unified API t <- pmt(\"twosample.wilcoxon\", n_permu = 1e6) set.seed(-1) t$test(rnorm(10, 1), rnorm(10, 0)) t$statistic t$p_value options(digits = 3) t$print() ggplot2::theme_set(ggplot2::theme_minimal()) t$plot(style = \"ggplot2\", binwidth = 1) t$type <- \"asymp\" t$p_value t <- define_pmt( # this is a two-sample permutation test inherit = \"twosample\", statistic = function(x, y) { # (optional) pre-calculate certain constants that remain invariant during permutation n_x <- length(x) n_y <- length(y) F_x <- seq_len(n_x) / n_x G_y <- seq_len(n_y) / n_y # return a closure to calculate the test statistic function(x, y) { x <- sort.int(x) y <- sort.int(y) F <- approxfun(x, F_x, \"constant\", 0, 1) G <- approxfun(y, G_y, \"constant\", 0, 1) sum(c(F_x - G(x), G_y - F(y))^2) } }, # reject the null hypothesis when the test statistic is large rejection = \"r\", name = \"Two-Sample Cramér-Von Mises Test\", alternative = \"samples are from different continuous distributions\" ) t$test(rnorm(10), runif(10))$print()"},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":null,"dir":"Reference","previous_headings":"","what":"Ansari-Bradley Test — AnsariBradley","title":"Ansari-Bradley Test — AnsariBradley","text":"Performs Ansari-Bradley test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Ansari-Bradley Test — AnsariBradley","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> AnsariBradley","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Ansari-Bradley Test — AnsariBradley","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Ansari-Bradley Test — AnsariBradley","text":"AnsariBradley$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Ansari-Bradley Test — AnsariBradley","text":"Create new AnsariBradley object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Ansari-Bradley Test — AnsariBradley","text":"","code":"AnsariBradley$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Ansari-Bradley Test — AnsariBradley","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Ansari-Bradley Test — AnsariBradley","text":"AnsariBradley object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Ansari-Bradley Test — AnsariBradley","text":"","code":"pmt( \"twosample.ansari\", alternative = \"greater\", n_permu = 0 )$test(Table2.8.1)$print() #> #> \t Ansari-Bradley Test #> #> scoring: Ansari-Bradley rank type: permu(252) method: default #> statistic = 13, p-value = 0.2698413 #> alternative hypothesis: true ratio of scales is greater than 1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":null,"dir":"Reference","previous_headings":"","what":"Inference on Cumulative Distribution Function — CDF","title":"Inference on Cumulative Distribution Function — CDF","text":"Performs statistical inference population cumulative distribution function.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Inference on Cumulative Distribution Function — CDF","text":"LearnNonparam::PermuTest -> LearnNonparam::OneSampleTest -> CDF","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Inference on Cumulative Distribution Function — CDF","text":"LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Inference on Cumulative Distribution Function — CDF","text":"CDF$new() CDF$plot()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Inference on Cumulative Distribution Function — CDF","text":"Create new CDF object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Inference on Cumulative Distribution Function — CDF","text":"","code":"CDF$new(conf_level = 0.95)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Inference on Cumulative Distribution Function — CDF","text":"conf_level number specifying confidence level confidence bounds.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Inference on Cumulative Distribution Function — CDF","text":"CDF object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"method-plot-","dir":"Reference","previous_headings":"","what":"Method plot()","title":"Inference on Cumulative Distribution Function — CDF","text":"Plot estimate confidence bounds population cumulative distribution function.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"usage-1","dir":"Reference","previous_headings":"","what":"Usage","title":"Inference on Cumulative Distribution Function — CDF","text":"","code":"CDF$plot(style = c(\"graphics\", \"ggplot2\"))"},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"arguments-1","dir":"Reference","previous_headings":"","what":"Arguments","title":"Inference on Cumulative Distribution Function — CDF","text":"style character string specifying package use.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"returns-1","dir":"Reference","previous_headings":"","what":"Returns","title":"Inference on Cumulative Distribution Function — CDF","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Inference on Cumulative Distribution Function — CDF","text":"","code":"pmt(\"onesample.cdf\")$test(Table1.2.1)$plot(style = \"graphic\")"},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":null,"dir":"Reference","previous_headings":"","what":"Chi-Square Test on Contingency Table — ChiSquare","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"Performs chi-square test contingency tables.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"LearnNonparam::PermuTest -> LearnNonparam::ContingencyTableTest -> ChiSquare","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"ChiSquare$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"Create new ChiSquare object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"","code":"ChiSquare$new(type = c(\"permu\", \"asymp\"), n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"type character string specifying way calculate p-value. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"ChiSquare object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"","code":"t <- pmt( \"table.chisq\", n_permu = 0 )$test(Table5.4.2)$print() #> #> \t Chi-Square Test on Contingency Table #> #> scoring: none type: permu(35) method: default #> statistic = 4.277778, p-value = 0.3142857 t$type <- \"asymp\" t #> #> \t Chi-Square Test on Contingency Table #> #> scoring: none type: asymp method: default #> statistic = 4.277778, p-value = 0.1177856"},{"path":"https://qddyy.github.io/LearnNonparam/reference/ContingencyTableTest.html","id":null,"dir":"Reference","previous_headings":"","what":"ContingencyTableTest Class — ContingencyTableTest","title":"ContingencyTableTest Class — ContingencyTableTest","text":"Abstract class tests contingency tables.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ContingencyTableTest.html","id":"super-class","dir":"Reference","previous_headings":"","what":"Super class","title":"ContingencyTableTest Class — ContingencyTableTest","text":"LearnNonparam::PermuTest -> ContingencyTableTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":null,"dir":"Reference","previous_headings":"","what":"Test for Association Between Paired Samples — Correlation","title":"Test for Association Between Paired Samples — Correlation","text":"Performs correlation coefficient based two-sample association test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Test for Association Between Paired Samples — Correlation","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSamplePairedTest -> LearnNonparam::TwoSampleAssociationTest -> Correlation","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Test for Association Between Paired Samples — Correlation","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Test for Association Between Paired Samples — Correlation","text":"Correlation$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Test for Association Between Paired Samples — Correlation","text":"Create new Correlation object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test for Association Between Paired Samples — Correlation","text":"","code":"Correlation$new( type = c(\"permu\", \"asymp\"), method = c(\"pearson\", \"kendall\", \"spearman\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test for Association Between Paired Samples — Correlation","text":"type character string specifying way calculate p-value. method character string specifying correlation coefficient used. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Test for Association Between Paired Samples — Correlation","text":"Correlation object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test for Association Between Paired Samples — Correlation","text":"","code":"pmt( \"association.corr\", method = \"pearson\", alternative = \"greater\", n_permu = 10000 )$test(Table5.1.2)$print() #> #> \t Test for Association Between Paired Samples #> #> scoring: none type: permu(10000) method: pearson #> statistic = 198766597, p-value < 2.220446e-16 #> alternative hypothesis: true correlation is greater than 0 t <- pmt( \"association.corr\", method = \"spearman\", alternative = \"two_sided\", n_permu = 10000 )$test(Table5.1.2)$print() #> #> \t Test for Association Between Paired Samples #> #> scoring: rank type: permu(10000) method: spearman #> statistic = 2059, p-value < 2.220446e-16 #> alternative hypothesis: true rho is not equal to 0 t$type <- \"asymp\" t #> #> \t Test for Association Between Paired Samples #> #> scoring: rank type: asymp method: spearman #> statistic = 0.8968008, p-value = 0.0002176436 #> alternative hypothesis: true rho is not equal to 0 t <- pmt( \"association.corr\", method = \"kendall\", alternative = \"greater\", n_permu = 0 )$test(Table5.2.2)$print() #> #> \t Test for Association Between Paired Samples #> #> scoring: rank type: permu(37800) method: kendall #> statistic = 0.2222222, p-value < 2.220446e-16 #> alternative hypothesis: true tau is greater than 0 t$type <- \"asymp\" t #> #> \t Test for Association Between Paired Samples #> #> scoring: rank type: asymp method: kendall #> statistic = 0.2222222, p-value = 0.1697136 #> alternative hypothesis: true tau is greater than 0"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":null,"dir":"Reference","previous_headings":"","what":"Two-Sample Test Based on Mean or Median — Difference","title":"Two-Sample Test Based on Mean or Median — Difference","text":"Performs mean/median based two-sample test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Two-Sample Test Based on Mean or Median — Difference","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> Difference","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Two-Sample Test Based on Mean or Median — Difference","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Two-Sample Test Based on Mean or Median — Difference","text":"Difference$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Two-Sample Test Based on Mean or Median — Difference","text":"Create new Difference object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Two-Sample Test Based on Mean or Median — Difference","text":"","code":"Difference$new( method = c(\"mean\", \"median\"), alternative = c(\"two_sided\", \"less\", \"greater\"), null_value = 0, n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Test Based on Mean or Median — Difference","text":"method character string specifying whether use mean median. alternative character string specifying alternative hypothesis. null_value number indicating true value location shift. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Test Based on Mean or Median — Difference","text":"Difference object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Two-Sample Test Based on Mean or Median — Difference","text":"","code":"pmt( \"twosample.difference\", method = \"mean\", alternative = \"greater\", n_permu = 0 )$test(Table2.1.1)$print()$plot( style = \"graphic\", breaks = seq(-20, 25, length.out = 9) ) #> #> \t Two-Sample Test Based on Mean or Median #> #> scoring: none type: permu(35) method: mean #> statistic = 16.16667, p-value = 0.05714286 #> alternative hypothesis: greater pmt( \"twosample.difference\", method = \"mean\", alternative = \"greater\", n_permu = 1000 )$test(Table2.3.1)$print() #> #> \t Two-Sample Test Based on Mean or Median #> #> scoring: none type: permu(1000) method: mean #> statistic = 1.675, p-value = 0.184 (± 0.02401608 at 95% confidence) #> alternative hypothesis: greater"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":null,"dir":"Reference","previous_headings":"","what":"Friedman Test — Friedman","title":"Friedman Test — Friedman","text":"Performs Friedman test samples collected randomized complete block design.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Friedman Test — Friedman","text":"LearnNonparam::PermuTest -> LearnNonparam::RCBDTest -> Friedman","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Friedman Test — Friedman","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Friedman Test — Friedman","text":"Friedman$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Friedman Test — Friedman","text":"Create new Friedman object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Friedman Test — Friedman","text":"","code":"Friedman$new(type = c(\"permu\", \"asymp\"), n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Friedman Test — Friedman","text":"type character string specifying way calculate p-value. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Friedman Test — Friedman","text":"Friedman object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Friedman Test — Friedman","text":"","code":"t <- pmt( \"rcbd.friedman\", n_permu = 0 )$test(Table4.5.3)$print() #> #> \t Friedman Test #> #> scoring: rank type: permu(576) method: default #> statistic = 28.33333, p-value = 0.04166667 t$type <- \"asymp\" t #> #> \t Friedman Test #> #> scoring: rank type: asymp method: default #> statistic = 7.5, p-value = 0.05755845"},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":null,"dir":"Reference","previous_headings":"","what":"Jonckheere-Terpstra Test — JonckheereTerpstra","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"Performs Jonckheere-Terpstra test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> JonckheereTerpstra","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"JonckheereTerpstra$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"Create new JonckheereTerpstra object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"","code":"JonckheereTerpstra$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"JonckheereTerpstra object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"","code":"t <- pmt( \"ksample.jt\", alternative = \"greater\" )$test(Table3.4.1)$print() #> #> \t Jonckheere-Terpstra Test #> #> scoring: none type: permu(10000) method: default #> statistic = 145, p-value = 0.0298 (± 0.003332628 at 95% confidence) #> alternative hypothesis: greater t$type <- \"asymp\" t #> #> \t Jonckheere-Terpstra Test #> #> scoring: none type: asymp method: default #> statistic = 145, p-value = 0.0285154 #> alternative hypothesis: greater"},{"path":"https://qddyy.github.io/LearnNonparam/reference/KSampleTest.html","id":null,"dir":"Reference","previous_headings":"","what":"KSampleTest Class — KSampleTest","title":"KSampleTest Class — KSampleTest","text":"Abstract class k-sample tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KSampleTest.html","id":"super-class","dir":"Reference","previous_headings":"","what":"Super class","title":"KSampleTest Class — KSampleTest","text":"LearnNonparam::PermuTest -> KSampleTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":null,"dir":"Reference","previous_headings":"","what":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"Performs two-sample Kolmogorov-Smirnov test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> KolmogorovSmirnov","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"KolmogorovSmirnov$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"Create new KolmogorovSmirnov object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"","code":"KolmogorovSmirnov$new(n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"KolmogorovSmirnov object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"","code":"pmt( \"twosample.ks\", n_permu = 0 )$test(Table2.8.1)$print() #> #> \t Two-Sample Kolmogorov-Smirnov Test #> #> scoring: none type: permu(252) method: default #> statistic = 0.4, p-value = 0.8730159"},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":null,"dir":"Reference","previous_headings":"","what":"Kruskal-Wallis Test — KruskalWallis","title":"Kruskal-Wallis Test — KruskalWallis","text":"Performs Kruskal-Wallis test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Kruskal-Wallis Test — KruskalWallis","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> KruskalWallis","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Kruskal-Wallis Test — KruskalWallis","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Kruskal-Wallis Test — KruskalWallis","text":"KruskalWallis$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Kruskal-Wallis Test — KruskalWallis","text":"Create new KruskalWallis object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Kruskal-Wallis Test — KruskalWallis","text":"","code":"KruskalWallis$new( type = c(\"permu\", \"asymp\"), scoring = c(\"rank\", \"vw\", \"expon\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Kruskal-Wallis Test — KruskalWallis","text":"type character string specifying way calculate p-value. scoring character string specifying scoring system. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Kruskal-Wallis Test — KruskalWallis","text":"KruskalWallis object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Kruskal-Wallis Test — KruskalWallis","text":"","code":"pmt( \"ksample.kw\", type = \"asymp\" )$test(Table3.2.2)$print() #> #> \t Kruskal-Wallis Test #> #> scoring: rank type: asymp method: default #> statistic = 17.14286, p-value = 0.0006605027 t <- pmt( \"ksample.kw\", type = \"permu\" )$test(Table3.2.3)$print() #> #> \t Kruskal-Wallis Test #> #> scoring: rank type: permu(10000) method: default #> statistic = 8.246588, p-value = 0.0119 (± 0.002125309 at 95% confidence) t$type <- \"asymp\" t #> #> \t Kruskal-Wallis Test #> #> scoring: rank type: asymp method: default #> statistic = 8.246588, p-value = 0.01619109"},{"path":"https://qddyy.github.io/LearnNonparam/reference/MultipleComparison.html","id":null,"dir":"Reference","previous_headings":"","what":"MultipleComparison Class — MultipleComparison","title":"MultipleComparison Class — MultipleComparison","text":"Abstract class multiple comparisons.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/MultipleComparison.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"MultipleComparison Class — MultipleComparison","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> MultipleComparison","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneSampleTest.html","id":null,"dir":"Reference","previous_headings":"","what":"OneSampleTest Class — OneSampleTest","title":"OneSampleTest Class — OneSampleTest","text":"Abstract class one-sample tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneSampleTest.html","id":"super-class","dir":"Reference","previous_headings":"","what":"Super class","title":"OneSampleTest Class — OneSampleTest","text":"LearnNonparam::PermuTest -> OneSampleTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneSampleTest.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"OneSampleTest Class — OneSampleTest","text":"LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneSampleTest.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"OneSampleTest Class — OneSampleTest","text":"OneSampleTest$plot()","code":""},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneSampleTest.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"OneSampleTest Class — OneSampleTest","text":"","code":"OneSampleTest$plot(...)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneSampleTest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"OneSampleTest Class — OneSampleTest","text":"... ignored.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":null,"dir":"Reference","previous_headings":"","what":"One-Way Test for Equal Means — OneWay","title":"One-Way Test for Equal Means — OneWay","text":"Performs F statistic based one-way test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"One-Way Test for Equal Means — OneWay","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> OneWay","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"One-Way Test for Equal Means — OneWay","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"One-Way Test for Equal Means — OneWay","text":"OneWay$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"One-Way Test for Equal Means — OneWay","text":"Create new OneWay object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"One-Way Test for Equal Means — OneWay","text":"","code":"OneWay$new(type = c(\"permu\", \"asymp\"), n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"One-Way Test for Equal Means — OneWay","text":"type character string specifying way calculate p-value. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"One-Way Test for Equal Means — OneWay","text":"OneWay object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"One-Way Test for Equal Means — OneWay","text":"","code":"# \\donttest{ t <- pmt( \"ksample.oneway\", n_permu = 0 )$test(Table3.1.2)$print() #> #> \t One-Way Test for Equal Means #> #> scoring: none type: permu(756756) method: default #> statistic = 11552.89, p-value = 0.05127412 t$type <- \"asymp\" t #> #> \t One-Way Test for Equal Means #> #> scoring: none type: asymp method: default #> statistic = 3.781445, p-value = 0.05327082 # }"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":null,"dir":"Reference","previous_headings":"","what":"Page Test — Page","title":"Page Test — Page","text":"Performs Page test samples collected randomized complete block design.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Page Test — Page","text":"LearnNonparam::PermuTest -> LearnNonparam::RCBDTest -> Page","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Page Test — Page","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Page Test — Page","text":"Page$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Page Test — Page","text":"Create new Page object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Page Test — Page","text":"","code":"Page$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Page Test — Page","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Page Test — Page","text":"Page object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Page Test — Page","text":"","code":"t <- pmt( \"rcbd.page\", alternative = \"less\" )$test(Table4.4.3)$print() #> #> \t Page Test #> #> scoring: rank type: permu(10000) method: default #> statistic = 134, p-value = 0.0121 (± 0.002142877 at 95% confidence) #> alternative hypothesis: less t$type <- \"asymp\" t #> #> \t Page Test #> #> scoring: rank type: asymp method: default #> statistic = 134, p-value = 0.01182581 #> alternative hypothesis: less"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":null,"dir":"Reference","previous_headings":"","what":"Paired Comparison Based on Differences — PairedDifference","title":"Paired Comparison Based on Differences — PairedDifference","text":"Performs differences based paired comparison samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Paired Comparison Based on Differences — PairedDifference","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSamplePairedTest -> PairedDifference","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"active-bindings","dir":"Reference","previous_headings":"","what":"Active bindings","title":"Paired Comparison Based on Differences — PairedDifference","text":"correct Whether apply continuity correction scoring set \"rank\".","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Paired Comparison Based on Differences — PairedDifference","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Paired Comparison Based on Differences — PairedDifference","text":"PairedDifference$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Paired Comparison Based on Differences — PairedDifference","text":"Create new PairedDifference object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Paired Comparison Based on Differences — PairedDifference","text":"","code":"PairedDifference$new( type = c(\"permu\", \"asymp\"), method = c(\"with_zeros\", \"without_zeros\"), scoring = c(\"none\", \"rank\", \"vw\", \"expon\"), alternative = c(\"two_sided\", \"less\", \"greater\"), null_value = 0, n_permu = 10000, correct = TRUE )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Paired Comparison Based on Differences — PairedDifference","text":"type character string specifying way calculate p-value. method character string specifying method ranking data computing adjusted signed scores tied data, must one \"with_zeros\" (default) \"without_zeros\". scoring character string specifying scoring system. alternative character string specifying alternative hypothesis. null_value number indicating true value location shift. n_permu integer indicating number permutations permutation distribution. set 0, permutations used. correct logical indicating whether apply continuity correction normal approximation p-value scoring set \"rank\".","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Paired Comparison Based on Differences — PairedDifference","text":"PairedDifference object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Paired Comparison Based on Differences — PairedDifference","text":"","code":"pmt( \"paired.difference\", alternative = \"greater\", scoring = \"none\", n_permu = 0 )$test(Table4.1.1)$print() #> #> \t Paired Comparison Based on Differences #> #> scoring: none type: permu(32) method: with_zeros #> statistic = 960, p-value = 0.09375 #> alternative hypothesis: greater pmt( \"paired.difference\", n_permu = 0 )$test(Table4.1.3)$print() #> #> \t Paired Comparison Based on Differences #> #> scoring: none type: permu(131072) method: with_zeros #> statistic = 148, p-value = 0.02502441 #> alternative hypothesis: two_sided t <- pmt( \"paired.difference\", scoring = \"rank\", alternative = \"greater\", n_permu = 0 )$test(Table4.1.1)$print() #> #> \t Paired Comparison Based on Differences #> #> scoring: rank type: permu(32) method: with_zeros #> statistic = 13, p-value = 0.09375 #> alternative hypothesis: greater t$type <- \"asymp\" t #> #> \t Paired Comparison Based on Differences #> #> scoring: rank type: asymp method: with_zeros #> statistic = 13, p-value = 0.08876493 #> alternative hypothesis: greater"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":null,"dir":"Reference","previous_headings":"","what":"PermuTest Class — PermuTest","title":"PermuTest Class — PermuTest","text":"Abstract class permutation tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"active-bindings","dir":"Reference","previous_headings":"","what":"Active bindings","title":"PermuTest Class — PermuTest","text":"type way calculate p-value. method method used. scoring scoring system used. alternative alternative hypothesis. null_value hypothesized value parameter null hypothesis. conf_level confidence level interval. n_permu number permutations used. data data. statistic test statistic. p_value p-value. estimate estimated value parameter. conf_int confidence interval parameter.","code":""},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"PermuTest Class — PermuTest","text":"PermuTest$test() PermuTest$print() PermuTest$plot()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"method-test-","dir":"Reference","previous_headings":"","what":"Method test()","title":"PermuTest Class — PermuTest","text":"Perform test sample(s).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"PermuTest Class — PermuTest","text":"","code":"PermuTest$test(...)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"PermuTest Class — PermuTest","text":"... sample(s). Can numeric vector(s) data.frame list containing .","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"PermuTest Class — PermuTest","text":"progress bar shown default. Use options(LearnNonparam.pmt_progress = FALSE) disable .","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"PermuTest Class — PermuTest","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"method-print-","dir":"Reference","previous_headings":"","what":"Method print()","title":"PermuTest Class — PermuTest","text":"Print results test.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"usage-1","dir":"Reference","previous_headings":"","what":"Usage","title":"PermuTest Class — PermuTest","text":"","code":"PermuTest$print()"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"returns-1","dir":"Reference","previous_headings":"","what":"Returns","title":"PermuTest Class — PermuTest","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"method-plot-","dir":"Reference","previous_headings":"","what":"Method plot()","title":"PermuTest Class — PermuTest","text":"Plot histogram(s) permutation distribution. Note method works type set \"permu\".","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"usage-2","dir":"Reference","previous_headings":"","what":"Usage","title":"PermuTest Class — PermuTest","text":"","code":"PermuTest$plot(style = c(\"graphics\", \"ggplot2\"), ...)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"arguments-1","dir":"Reference","previous_headings":"","what":"Arguments","title":"PermuTest Class — PermuTest","text":"style character string specifying package use. ... passed graphics::hist.default() ggplot2::stat_bin().","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"returns-2","dir":"Reference","previous_headings":"","what":"Returns","title":"PermuTest Class — PermuTest","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":null,"dir":"Reference","previous_headings":"","what":"Quantile Test — Quantile","title":"Quantile Test — Quantile","text":"Performs quantile test single sample. addition, estimation confidence interval desired quantile calculated.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Quantile Test — Quantile","text":"LearnNonparam::PermuTest -> LearnNonparam::OneSampleTest -> Quantile","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"active-bindings","dir":"Reference","previous_headings":"","what":"Active bindings","title":"Quantile Test — Quantile","text":"prob probability associated quantile. correct Whether apply continuity correction.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Quantile Test — Quantile","text":"LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test() LearnNonparam::OneSampleTest$plot()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Quantile Test — Quantile","text":"Quantile$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Quantile Test — Quantile","text":"Create new Quantile object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Quantile Test — Quantile","text":"","code":"Quantile$new( type = c(\"asymp\", \"exact\"), alternative = c(\"two_sided\", \"less\", \"greater\"), null_value = 0, conf_level = 0.95, prob = 0.5, correct = TRUE )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Quantile Test — Quantile","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. null_value number indicating hypothesized value quantile. conf_level number zero one indicating confidence level use. prob number zero one indicating probability associated quantile. correct logical indicating whether apply continuity correction normal approximation p-value.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Quantile Test — Quantile","text":"Quantile object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Quantile Test — Quantile","text":"","code":"pmt( \"onesample.quantile\", prob = 0.5, null_value = 75, alternative = \"greater\", type = \"asymp\", correct = FALSE )$test(Table1.1.1)$print() #> #> \t Quantile Test #> #> scoring: none type: asymp method: default #> statistic = 26, p-value = 0.02888979 #> alternative hypothesis: true 0.5 quantile is greater than 75 #> estimate: 75.35 #> 95% confidence interval: (75, 77.1) pmt( \"onesample.quantile\", prob = 0.25, conf_level = 0.90 )$test(Table1.2.1)$conf_int #> [1] 11 29"},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":null,"dir":"Reference","previous_headings":"","what":"One-Way Test for Equal Means in RCBD — RCBDOneWay","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"Performs F statistic based one-way test samples collected randomized complete block design.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"LearnNonparam::PermuTest -> LearnNonparam::RCBDTest -> RCBDOneWay","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"RCBDOneWay$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"Create new RCBDOneWay object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"","code":"RCBDOneWay$new(type = c(\"permu\", \"asymp\"), n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"type character string specifying way calculate p-value. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"RCBDOneWay object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"","code":"t <- pmt( \"rcbd.oneway\", n_permu = 5000 )$test(Table4.4.3)$print() #> #> \t One-Way Test for Equal Means in RCBD #> #> scoring: none type: permu(5000) method: default #> statistic = 110241.8, p-value = 0.0598 (± 0.006572397 at 95% confidence) t$type <- \"asymp\" t #> #> \t One-Way Test for Equal Means in RCBD #> #> scoring: none type: asymp method: default #> statistic = 3.121093, p-value = 0.057516"},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDTest.html","id":null,"dir":"Reference","previous_headings":"","what":"RCBDTest Class — RCBDTest","title":"RCBDTest Class — RCBDTest","text":"Abstract class tests samples collected randomized complete block designs.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDTest.html","id":"super-class","dir":"Reference","previous_headings":"","what":"Super class","title":"RCBDTest Class — RCBDTest","text":"LearnNonparam::PermuTest -> RCBDTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":null,"dir":"Reference","previous_headings":"","what":"Ratio Mean Deviance Test — RatioMeanDeviance","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"Performs ratio mean deviance test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> RatioMeanDeviance","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"RatioMeanDeviance$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"Create new RatioMeanDeviance object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"","code":"RatioMeanDeviance$new( alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"RatioMeanDeviance object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"","code":"pmt( \"twosample.rmd\", alternative = \"greater\", n_permu = 0 )$test(Table2.8.1)$print() #> #> \t Ratio Mean Deviance Test #> #> scoring: none type: permu(252) method: default #> statistic = 4.666667, p-value = 0.06349206 #> alternative hypothesis: true ratio of scales is greater than 1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":null,"dir":"Reference","previous_headings":"","what":"Two-Sample Test Based on Sum of Scores — ScoreSum","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"Performs sum scores based two-sample test samples. almost two-sample wilcoxon rank sum test uses scoring systems.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> ScoreSum","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"ScoreSum$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"Create new ScoreSum object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"","code":"ScoreSum$new( scoring = c(\"rank\", \"vw\", \"expon\"), alternative = c(\"two_sided\", \"less\", \"greater\"), null_value = 0, n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"scoring character string specifying scoring system. alternative character string specifying alternative hypothesis. null_value number indicating true value location shift. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"ScoreSum object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"","code":"pmt( \"twosample.scoresum\", scoring = \"expon\", alternative = \"greater\", n_permu = 0 )$test(Table2.6.2)$print() #> #> \t Two-Sample Test Based on Sum of Scores #> #> scoring: expon type: permu(924) method: default #> statistic = 9.752597, p-value = 0.002164502 #> alternative hypothesis: greater"},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":null,"dir":"Reference","previous_headings":"","what":"Siegel-Tukey Test — SiegelTukey","title":"Siegel-Tukey Test — SiegelTukey","text":"Performs Siegel-Tukey test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Siegel-Tukey Test — SiegelTukey","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> LearnNonparam::Wilcoxon -> SiegelTukey","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Siegel-Tukey Test — SiegelTukey","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Siegel-Tukey Test — SiegelTukey","text":"SiegelTukey$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Siegel-Tukey Test — SiegelTukey","text":"Create new SiegelTukey object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Siegel-Tukey Test — SiegelTukey","text":"","code":"SiegelTukey$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000, correct = TRUE )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Siegel-Tukey Test — SiegelTukey","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used. correct logical indicating whether apply continuity correction normal approximation p-value.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Siegel-Tukey Test — SiegelTukey","text":"SiegelTukey object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Siegel-Tukey Test — SiegelTukey","text":"","code":"pmt( \"twosample.siegel\", alternative = \"greater\", n_permu = 0 )$test(Table2.8.1)$print() #> #> \t Siegel-Tukey Test #> #> scoring: Siegel-Tukey rank type: permu(252) method: default #> statistic = 24, p-value = 0.2738095 #> alternative hypothesis: true ratio of scales is greater than 1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":null,"dir":"Reference","previous_headings":"","what":"Two-Sample Sign Test — Sign","title":"Two-Sample Sign Test — Sign","text":"Performs two-sample sign test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Two-Sample Sign Test — Sign","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSamplePairedTest -> Sign","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"active-bindings","dir":"Reference","previous_headings":"","what":"Active bindings","title":"Two-Sample Sign Test — Sign","text":"correct Whether apply continuity correction.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Two-Sample Sign Test — Sign","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Two-Sample Sign Test — Sign","text":"Sign$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Two-Sample Sign Test — Sign","text":"Create new Sign object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Two-Sample Sign Test — Sign","text":"","code":"Sign$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000, correct = TRUE )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Sign Test — Sign","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used. correct logical indicating whether apply continuity correction normal approximation p-value.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Sign Test — Sign","text":"Sign object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Two-Sample Sign Test — Sign","text":"","code":"t <- pmt( \"paired.sign\", alternative = \"greater\", n_permu = 0 )$test( rep(c(+1, -1), c(12, 5)), rep(0, 17) )$print() #> #> \t Two-Sample Sign Test #> #> scoring: none type: permu(131072) method: default #> statistic = 12, p-value = 0.07173157 #> alternative hypothesis: greater t$type <- \"asymp\" t #> #> \t Two-Sample Sign Test #> #> scoring: none type: asymp method: default #> statistic = 12, p-value = 0.07280505 #> alternative hypothesis: greater"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":null,"dir":"Reference","previous_headings":"","what":"Multiple Comparison Based on Studentized Statistic — Studentized","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"Performs studentized statistic based multiple comparison samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> LearnNonparam::MultipleComparison -> Studentized","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"Studentized$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"Create new Studentized object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"","code":"Studentized$new( type = c(\"permu\", \"asymp\"), method = c(\"bonferroni\", \"tukey\"), scoring = c(\"none\", \"rank\", \"vw\", \"expon\"), conf_level = 0.95, n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"type character string specifying way calculate p-value. method character string specifying whether use Bonferroni's method Tukey's HSD method. scoring character string specifying scoring system. conf_level number zero one indicating family-wise confidence level use. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"Studentized object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"","code":"t <- pmt( \"multcomp.studentized\", method = \"bonferroni\" )$test(Table3.3.1)$print() #> #> \t Multiple Comparison Based on Studentized Statistic #> #> scoring: none type: permu(10000) method: bonferroni #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.02737145 0.9754 #> location_1 ~ location_3 -1.77914406 0.0844 #> location_1 ~ location_4 -3.41048230 0.0018 * #> location_2 ~ location_3 -1.80651550 0.0868 #> location_2 ~ location_4 -3.43785375 0.0018 * #> location_3 ~ location_4 -1.63133824 0.1154 t$type <- \"asymp\" t #> #> \t Multiple Comparison Based on Studentized Statistic #> #> scoring: none type: asymp method: bonferroni #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.02737145 0.978434752 #> location_1 ~ location_3 -1.77914406 0.090419680 #> location_1 ~ location_4 -3.41048230 0.002773484 * #> location_2 ~ location_3 -1.80651550 0.085909110 #> location_2 ~ location_4 -3.43785375 0.002603664 * #> location_3 ~ location_4 -1.63133824 0.118466249 t$scoring <- \"rank\" t #> #> \t Multiple Comparison Based on Studentized Statistic #> #> scoring: rank type: asymp method: bonferroni #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.1224745 0.902523250 #> location_1 ~ location_3 -1.3880442 0.165123590 #> location_1 ~ location_4 -2.6536139 0.007963489 * #> location_2 ~ location_3 -1.5105187 0.130911128 #> location_2 ~ location_4 -2.7760884 0.005501725 * #> location_3 ~ location_4 -1.2655697 0.205667180 t$method <- \"tukey\" t #> #> \t Multiple Comparison Based on Studentized Statistic #> #> scoring: rank type: asymp method: tukey #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.1732051 0.99934385 #> location_1 ~ location_3 1.9629909 0.50683497 #> location_1 ~ location_4 3.7527767 0.03978340 * #> location_2 ~ location_3 2.1361960 0.43109997 #> location_2 ~ location_4 3.9259818 0.02817015 * #> location_3 ~ location_4 1.7897858 0.58494735 t$scoring <- \"none\" t #> #> \t Multiple Comparison Based on Studentized Statistic #> #> scoring: none type: asymp method: tukey #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.03870907 0.99999236 #> location_1 ~ location_3 2.51608965 0.31194094 #> location_1 ~ location_4 4.82315032 0.01356971 * #> location_2 ~ location_3 2.55479873 0.29951264 #> location_2 ~ location_4 4.86185939 0.01277452 * #> location_3 ~ location_4 2.30706067 0.38453323 t$type <- \"permu\" t #> #> \t Multiple Comparison Based on Studentized Statistic #> #> scoring: none type: permu(10000) method: tukey #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.03870907 1.0000 #> location_1 ~ location_3 2.51608965 0.3172 #> location_1 ~ location_4 4.82315032 0.0150 * #> location_2 ~ location_3 2.55479873 0.3052 #> location_2 ~ location_4 4.86185939 0.0143 * #> location_3 ~ location_4 2.30706067 0.3921"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table1.1.1.html","id":null,"dir":"Reference","previous_headings":"","what":"Sodium Contents — Table1.1.1","title":"Sodium Contents — Table1.1.1","text":"Sodium contents (mg) 40 servings food product.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table1.1.1.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sodium Contents — Table1.1.1","text":"","code":"Table1.1.1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table1.1.1.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Sodium Contents — Table1.1.1","text":"object class numeric length 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3 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.1.2.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Normal Samples — Table3.1.2","text":"Table 3.1.2","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.2.2.html","id":null,"dir":"Reference","previous_headings":"","what":"Logarithms of Bacteria Counts — Table3.2.2","title":"Logarithms of Bacteria Counts — Table3.2.2","text":"Logarithms counts bacteria 4 samples, respectively treated 3 kills left untreated control.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.2.2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Logarithms of Bacteria Counts — Table3.2.2","text":"","code":"Table3.2.2"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.2.2.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Logarithms of Bacteria Counts — 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fields.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.4.3.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Yield Data — Table4.4.3","text":"","code":"Table4.4.3"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.4.3.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Yield Data — Table4.4.3","text":"object class data.frame 4 rows 6 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.4.3.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Yield Data — Table4.4.3","text":"Table 4.4.3","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.5.3.html","id":null,"dir":"Reference","previous_headings":"","what":"Randomized Complete Block with Ties — Table4.5.3","title":"Randomized Complete Block with Ties — Table4.5.3","text":"randomized complete block design 4 treatments 3 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heterophils lymphocytes blood samples 18 healthy rabbits.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.1.2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Heterophils and Lymphocytes — Table5.1.2","text":"","code":"Table5.1.2"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.1.2.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Heterophils and Lymphocytes — Table5.1.2","text":"object class data.frame 18 rows 2 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.1.2.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Heterophils and Lymphocytes — Table5.1.2","text":"Table5.1.2","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.2.2.html","id":null,"dir":"Reference","previous_headings":"","what":"Scores of Projects — Table5.2.2","title":"Scores of Projects — 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— TwoSampleLocationTest","text":"Abstract class two-sample location tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/TwoSampleLocationTest.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"TwoSampleLocationTest Class — TwoSampleLocationTest","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> TwoSampleLocationTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/TwoSamplePairedTest.html","id":null,"dir":"Reference","previous_headings":"","what":"TwoSamplePairedTest Class — TwoSamplePairedTest","title":"TwoSamplePairedTest Class — TwoSamplePairedTest","text":"Abstract class paired two-sample tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/TwoSamplePairedTest.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"TwoSamplePairedTest Class — TwoSamplePairedTest","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> TwoSamplePairedTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/TwoSampleTest.html","id":null,"dir":"Reference","previous_headings":"","what":"TwoSampleTest Class — TwoSampleTest","title":"TwoSampleTest Class — TwoSampleTest","text":"Abstract class two-sample tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/TwoSampleTest.html","id":"super-class","dir":"Reference","previous_headings":"","what":"Super class","title":"TwoSampleTest Class — TwoSampleTest","text":"LearnNonparam::PermuTest -> TwoSampleTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":null,"dir":"Reference","previous_headings":"","what":"Two-Sample Wilcoxon Test — Wilcoxon","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"Performs two-sample wilcoxon test samples. addition, estimation confidence interval location shift calculated.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> Wilcoxon","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"active-bindings","dir":"Reference","previous_headings":"","what":"Active bindings","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"correct Whether apply continuity correction.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"Wilcoxon$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"Create new Wilcoxon object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"","code":"Wilcoxon$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), null_value = 0, conf_level = 0.95, n_permu = 10000, correct = TRUE )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. null_value number indicating true value location shift. conf_level number zero one indicating confidence level use. n_permu integer indicating number permutations permutation distribution. set 0, permutations used. correct logical indicating whether apply continuity correction normal approximation p-value.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"Wilcoxon object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"","code":"pmt( \"twosample.wilcoxon\", alternative = \"greater\", n_permu = 0 )$test(Table2.1.1)$print() #> #> \t Two-Sample Wilcoxon Test #> #> scoring: rank type: permu(35) method: default #> statistic = 21, p-value = 0.05714286 #> alternative hypothesis: true location shift is greater than 0 #> estimate: 16 #> 95% confidence interval: (-Inf, Inf) pmt( \"twosample.wilcoxon\", alternative = \"less\", n_permu = 0 )$test(Table2.6.1)$print() #> #> \t Two-Sample Wilcoxon Test #> #> scoring: rank type: permu(70) method: default #> statistic = 14, p-value = 0.1714286 #> alternative hypothesis: true location shift is less than 0 #> estimate: -0.35 #> 95% confidence interval: (-1.2, 0.5) pmt( \"twosample.wilcoxon\", conf_level = 0.90 )$test(Table2.6.2)$conf_int #> [1] 13.84 47.96"},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":null,"dir":"Reference","previous_headings":"","what":"Syntactic Sugar for Object Construction — pmt","title":"Syntactic Sugar for Object Construction — pmt","text":"Construct test objects unified way.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Syntactic Sugar for Object Construction — pmt","text":"","code":"pmt(key, ...) pmts( which = c(\"all\", \"onesample\", \"twosample\", \"ksample\", \"multcomp\", \"paired\", \"rcbd\", \"association\", \"table\") ) define_pmt( inherit = c(\"twosample\", \"ksample\", \"paired\", \"rcbd\", \"association\", \"table\"), statistic, rejection = c(\"lr\", \"l\", \"r\"), scoring = \"none\", n_permu = 10000, name = \"User-Defined Permutation Test\", alternative = NULL, depends = character(), plugins = character(), includes = character() )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Syntactic Sugar for Object Construction — pmt","text":"key character string specifying test. Check pmts() valid keys. ... extra parameters passed constructor. character string specifying desired tests. inherit character string specifying type permutation test. statistic definition test statistic. See details. rejection character string specifying rejection region . scoring one : - character string c(\"none\", \"rank\", \"vw\", \"expon\") specifying scoring system - function takes numeric vector returns equal-length score vector n_permu integer indicating number permutations permutation distribution. set 0, permutations used. name character string specifying name test. alternative character string describing alternative hypothesis. depends, plugins, includes passed Rcpp::cppFunction().","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Syntactic Sugar for Object Construction — pmt","text":"test object corresponding specified key. data frame containing keys corresponding tests implemented package. test object based specified statistic.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Syntactic Sugar for Object Construction — pmt","text":"test statistic can defined using either R Rcpp, statistic parameter specified : R: function returning closure returns double. Rcpp: character string defining captureless lambda (since C++11) returning another lambda captures value, accepts parameters type, returns double. purpose design pre-calculate certain constants remain invariant permutation. using Rcpp, parameters different inherit listed follows. Note names can customized, types can replaced auto (thanks support generic lambdas C++14). See examples. using R, parameters R equivalents .","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Syntactic Sugar for Object Construction — pmt","text":"statistic cause errors return missing values. data permuted -place. Therefore, modifications data within statistic may lead incorrect results. Since R copy--modify semantics C++ , recommended pass const references using Rcpp define_pmt, shown table .","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Syntactic Sugar for Object Construction — pmt","text":"","code":"pmt(\"twosample.wilcoxon\") #> #> Inherits from: #> Public: #> alternative: active binding #> conf_int: active binding #> conf_level: active binding #> correct: active binding #> data: active binding #> estimate: active binding #> initialize: function (type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", #> method: active binding #> n_permu: active binding #> null_value: active binding #> p_value: active binding #> plot: function (style = c(\"graphics\", \"ggplot2\"), ...) #> print: function () #> scoring: active binding #> statistic: active binding #> test: function (...) #> type: active binding #> Private: #> .alternative: two_sided #> .autoplot: function (...) #> .calculate: function () #> .calculate_extra: function () #> .calculate_n_permu: function () #> .calculate_p: function () #> .calculate_p_permu: function () #> .calculate_score: function () #> .calculate_side: function () #> .calculate_statistic: function () #> .compile_statistic_closure: function () #> .conf_int: NULL #> .conf_level: 0.95 #> .correct: TRUE #> .data: NULL #> .define: function () #> .estimate: NULL #> .link: + #> .method: default #> .n_permu: 10000 #> .name: Two-Sample Wilcoxon Test #> .null_value: 0 #> .on_alternative_change: function () #> .on_conf_level_change: function () #> .on_method_change: function () #> .on_n_permu_change: function () #> .on_null_value_change: function () #> .on_scoring_change: function () #> .on_type_change: function () #> .p_value: NULL #> .param_name: location shift #> .plot: function (...) #> .preprocess: function () #> .print: function () #> .raw_data: NULL #> .scoring: rank #> .side: NULL #> .statistic: NULL #> .statistic_func: NULL #> .type: permu pmts(\"ksample\") #> key class test #> 1 ksample.oneway OneWay One-Way Test for Equal Means #> 2 ksample.kw KruskalWallis Kruskal-Wallis Test #> 3 ksample.jt JonckheereTerpstra Jonckheere-Terpstra Test x <- rnorm(5) y <- rnorm(5, 1) t <- define_pmt( inherit = \"twosample\", scoring = base::rank, # equivalent to \"rank\" statistic = function(...) function(x, y) sum(x) )$test(x, y)$print() #> #> \t User-Defined Permutation Test #> #> scoring: custom type: permu(10000) method: default #> statistic = 19, p-value = 0.09 (± 0.005609059 at 95% confidence) t$scoring <- function(x) qnorm(rank(x) / (length(x) + 1)) # equivalent to \"vw\" t$print() #> #> \t User-Defined Permutation Test #> #> scoring: custom type: permu(10000) method: default #> statistic = -2.38528, p-value = 0.0654 (± 0.004845626 at 95% confidence) t$n_permu <- 0 t$print() #> #> \t User-Defined Permutation Test #> #> scoring: custom type: permu(252) method: default #> statistic = -2.38528, p-value = 0.06349206 # \\donttest{ r <- define_pmt( inherit = \"twosample\", n_permu = 1e5, statistic = function(x, y) { m <- length(x) n <- length(y) function(x, y) sum(x) / m - sum(y) / n } ) rcpp <- define_pmt( inherit = \"twosample\", n_permu = 1e5, statistic = \"[](const auto& x, const auto& y) { auto m = x.length(); auto n = y.length(); return [=](const auto& x, const auto& y) { return sum(x) / m - sum(y) / n; }; }\" ) # equivalent # rcpp <- define_pmt( # inherit = \"twosample\", n_permu = 1e5, # statistic = \"[](const NumericVector& x, const NumericVector& y) { # R_xlen_t m = x.length(); # R_xlen_t n = y.length(); # return [m, n](const NumericVector& x, const NumericVector& y) -> double { # return sum(x) / m - sum(y) / n; # }; # }\" # ) options(LearnNonparam.pmt_progress = FALSE) system.time(r$test(x, y)) #> user system elapsed #> 0.129 0.000 0.129 system.time(rcpp$test(x, y)) #> user system elapsed #> 0.008 0.000 0.009 # }"},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-126","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.6","title":"LearnNonparam 1.2.6","text":"CRAN release: 2024-12-17 Fixed issue parameter passing ggplot2::stat_bin plot() Added detection missing values zero-length data test() Switched version 3 serialization format Added documentation Improved efficiency calling R C++ Enhanced permuting efficiency rcbd.*, association.*, table.* Replaced R_len_t R_xlen_t support long vectors Replaced Rcpp.h Rcpp/Lightest reduce compilation time","code":""},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-125","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.5","title":"LearnNonparam 1.2.5","text":"CRAN release: 2024-11-14 Added support scoring active binding define_pmt Corrected x-axis range plot() style = \"graphics\" Improved performance PairedDifference","code":""},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-124","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.4","title":"LearnNonparam 1.2.4","text":"CRAN release: 2024-11-12 Added support custom scoring systems define_pmt Enabled compatibility C++ standard versions beyond C++14 define_pmt Improved performance KruskalWallis, OneWay, Studentized Replaced certain warning() calls stop() Refined text Enhanced permuting efficiency twosample_pmt","code":""},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-123","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.3","title":"LearnNonparam 1.2.3","text":"CRAN release: 2024-10-15 Improved twosample_pmt Added examples Fixed SiegelTukey ContingencyTableTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-122","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.2","title":"LearnNonparam 1.2.2","text":"Changed default value n_permu 1e4 Added support test statistics defined using Rcpp define_pmt Added support null_value zero two-sample location tests Added support scoring TwoSampleAssociationTest Added confidence interval p-value print() Added LearnNonparam.pmt_progress option Added attr(t$n_permu, \"n_used\") Replaced multicomp.* multcomp.* Replaced KSampleF RCBDF OneWay RCBDOneWay Stopped exporting abstract classes (TwoSampleTest, KSampleTest, etc.) Improved efficiency ChiSquare, Difference, JonckheereTerpstra, KruskalWallis, RatioMeanDeviance Studentized Fixed many bugs Introduced new progress bar, built compile time minimize runtime overhead","code":""},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-121","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.1","title":"LearnNonparam 1.2.1","text":"Added define_pmt Added error messages Added active bindings Introduced graphics alternative ggplot2 Introduced compiler::cmpfun better performance Renamed ANOVA, RCBD, RCBDANOVA SignedDiff Replaced MultiCompT TukeyHSD Studentized Replaced \"approx\" \"asymp\" Improved MultipleComparison Improved CDF$plot() Fixed many bugs new progress bar Support larger n_permu","code":""},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-120","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.0","title":"LearnNonparam 1.2.0","text":"Added logo Introduced Rcpp Replaced Mean Difference Replaced SignedScore SignedDiff Replaced PermuTest$feed() PermuTest$test() Accelerated RCBD TwoSamplePairedTest Improved print() plot() method CDF, MultipleComparison PermuTest Added \"approx\" option Quantile$type Fixed many bugs","code":""}] +[{"path":"https://qddyy.github.io/LearnNonparam/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU General Public License","title":"GNU General Public License","text":"Version 2, June 1991Copyright © 1989, 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This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. Gnomovision version 69, Copyright (C) year name of author Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. Yoyodyne, Inc., hereby disclaims all copyright interest in the program `Gnomovision' (which makes passes at compilers) written by James Hacker. , 1 April 1989 Ty Coon, President of Vice"},{"path":"https://qddyy.github.io/LearnNonparam/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Yan Du. Author, maintainer.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Du Y (2024). LearnNonparam: 'R6'-Based Flexible Framework Permutation Tests. R package version 1.2.6, https://qddyy.github.io/LearnNonparam/, https://github.com/qddyy/LearnNonparam.","code":"@Manual{, title = {LearnNonparam: 'R6'-Based Flexible Framework for Permutation Tests}, author = {Yan Du}, year = {2024}, note = {R package version 1.2.6, https://qddyy.github.io/LearnNonparam/}, url = {https://github.com/qddyy/LearnNonparam}, }"},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/index.html","id":"overview","dir":"","previous_headings":"","what":"Overview","title":"R6-Based Flexible Framework for Permutation Tests","text":"R package implements several non-parametric tests chapters 1-5 Higgins (2004), including tests one sample, two samples, k samples, paired comparisons, blocked designs, trends association. Built Rcpp efficiency R6 flexible, object-oriented design, provides unified framework performing creating custom permutation tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"R6-Based Flexible Framework for Permutation Tests","text":"Install stable version CRAN: Install development version Github:","code":"install.packages(\"LearnNonparam\") # install.packages(\"remotes\") remotes::install_github(\"qddyy/LearnNonparam\")"},{"path":"https://qddyy.github.io/LearnNonparam/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"R6-Based Flexible Framework for Permutation Tests","text":"Construct test object R6 class directly using pmt (permutation test) wrapper Provide samples Check results Modify settings observe change define_pmt allows users define new permutation tests. Take two-sample Cramér-Von Mises test example:","code":"library(LearnNonparam) options(LearnNonparam.pmt_progress = TRUE) t <- Wilcoxon$new(n_permu = 1e6) # recommended for a unified API t <- pmt(\"twosample.wilcoxon\", n_permu = 1e6) set.seed(-1) t$test(rnorm(10, 1), rnorm(10, 0)) t$statistic t$p_value options(digits = 3) t$print() ggplot2::theme_set(ggplot2::theme_minimal()) t$plot(style = \"ggplot2\", binwidth = 1) t$type <- \"asymp\" t$p_value t <- define_pmt( # this is a two-sample permutation test inherit = \"twosample\", statistic = function(x, y) { # (optional) pre-calculate certain constants that remain invariant during permutation n_x <- length(x) n_y <- length(y) F_x <- seq_len(n_x) / n_x G_y <- seq_len(n_y) / n_y # return a closure to calculate the test statistic function(x, y) { x <- sort.int(x) y <- sort.int(y) F <- approxfun(x, F_x, \"constant\", 0, 1) G <- approxfun(y, G_y, \"constant\", 0, 1) sum(c(F_x - G(x), G_y - F(y))^2) } }, # reject the null hypothesis when the test statistic is large rejection = \"r\", name = \"Two-Sample Cramér-Von Mises Test\", alternative = \"samples are from different continuous distributions\" ) t$test(rnorm(10), runif(10))$print()"},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":null,"dir":"Reference","previous_headings":"","what":"Ansari-Bradley Test — AnsariBradley","title":"Ansari-Bradley Test — AnsariBradley","text":"Performs Ansari-Bradley test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Ansari-Bradley Test — AnsariBradley","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> AnsariBradley","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Ansari-Bradley Test — AnsariBradley","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Ansari-Bradley Test — AnsariBradley","text":"AnsariBradley$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Ansari-Bradley Test — AnsariBradley","text":"Create new AnsariBradley object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Ansari-Bradley Test — AnsariBradley","text":"","code":"AnsariBradley$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Ansari-Bradley Test — AnsariBradley","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Ansari-Bradley Test — AnsariBradley","text":"AnsariBradley object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Ansari-Bradley Test — AnsariBradley","text":"","code":"pmt( \"twosample.ansari\", alternative = \"greater\", n_permu = 0 )$test(Table2.8.1)$print() #> #> \t Ansari-Bradley Test #> #> scoring: Ansari-Bradley rank type: permu(252) method: default #> statistic = 13, p-value = 0.2698413 #> alternative hypothesis: true ratio of scales is greater than 1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":null,"dir":"Reference","previous_headings":"","what":"Inference on Cumulative Distribution Function — CDF","title":"Inference on Cumulative Distribution Function — CDF","text":"Performs statistical inference population cumulative distribution function.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Inference on Cumulative Distribution Function — CDF","text":"LearnNonparam::PermuTest -> LearnNonparam::OneSampleTest -> CDF","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Inference on Cumulative Distribution Function — CDF","text":"LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Inference on Cumulative Distribution Function — CDF","text":"CDF$new() CDF$plot()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Inference on Cumulative Distribution Function — CDF","text":"Create new CDF object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Inference on Cumulative Distribution Function — CDF","text":"","code":"CDF$new(conf_level = 0.95)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Inference on Cumulative Distribution Function — CDF","text":"conf_level number specifying confidence level confidence bounds.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Inference on Cumulative Distribution Function — CDF","text":"CDF object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"method-plot-","dir":"Reference","previous_headings":"","what":"Method plot()","title":"Inference on Cumulative Distribution Function — CDF","text":"Plot estimate confidence bounds population cumulative distribution function.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"usage-1","dir":"Reference","previous_headings":"","what":"Usage","title":"Inference on Cumulative Distribution Function — CDF","text":"","code":"CDF$plot(style = c(\"graphics\", \"ggplot2\"))"},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"arguments-1","dir":"Reference","previous_headings":"","what":"Arguments","title":"Inference on Cumulative Distribution Function — CDF","text":"style character string specifying package use.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"returns-1","dir":"Reference","previous_headings":"","what":"Returns","title":"Inference on Cumulative Distribution Function — CDF","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Inference on Cumulative Distribution Function — CDF","text":"","code":"pmt(\"onesample.cdf\")$test(Table1.2.1)$plot(style = \"graphic\")"},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":null,"dir":"Reference","previous_headings":"","what":"Chi-Square Test on Contingency Table — ChiSquare","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"Performs chi-square test contingency tables.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"LearnNonparam::PermuTest -> LearnNonparam::ContingencyTableTest -> ChiSquare","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"ChiSquare$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"Create new ChiSquare object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"","code":"ChiSquare$new(type = c(\"permu\", \"asymp\"), n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"type character string specifying way calculate p-value. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"ChiSquare object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"","code":"t <- pmt( \"table.chisq\", n_permu = 0 )$test(Table5.4.2)$print() #> #> \t Chi-Square Test on Contingency Table #> #> scoring: none type: permu(35) method: default #> statistic = 4.277778, p-value = 0.3142857 t$type <- \"asymp\" t #> #> \t Chi-Square Test on Contingency Table #> #> scoring: none type: asymp method: default #> statistic = 4.277778, p-value = 0.1177856"},{"path":"https://qddyy.github.io/LearnNonparam/reference/ContingencyTableTest.html","id":null,"dir":"Reference","previous_headings":"","what":"ContingencyTableTest Class — ContingencyTableTest","title":"ContingencyTableTest Class — ContingencyTableTest","text":"Abstract class tests contingency tables.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ContingencyTableTest.html","id":"super-class","dir":"Reference","previous_headings":"","what":"Super class","title":"ContingencyTableTest Class — ContingencyTableTest","text":"LearnNonparam::PermuTest -> ContingencyTableTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":null,"dir":"Reference","previous_headings":"","what":"Test for Association Between Paired Samples — Correlation","title":"Test for Association Between Paired Samples — Correlation","text":"Performs correlation coefficient based two-sample association test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Test for Association Between Paired Samples — Correlation","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSamplePairedTest -> LearnNonparam::TwoSampleAssociationTest -> Correlation","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Test for Association Between Paired Samples — Correlation","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Test for Association Between Paired Samples — Correlation","text":"Correlation$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Test for Association Between Paired Samples — Correlation","text":"Create new Correlation object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test for Association Between Paired Samples — Correlation","text":"","code":"Correlation$new( type = c(\"permu\", \"asymp\"), method = c(\"pearson\", \"kendall\", \"spearman\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test for Association Between Paired Samples — Correlation","text":"type character string specifying way calculate p-value. method character string specifying correlation coefficient used. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Test for Association Between Paired Samples — Correlation","text":"Correlation object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test for Association Between Paired Samples — Correlation","text":"","code":"pmt( \"association.corr\", method = \"pearson\", alternative = \"greater\", n_permu = 10000 )$test(Table5.1.2)$print() #> #> \t Test for Association Between Paired Samples #> #> scoring: none type: permu(10000) method: pearson #> statistic = 198766597, p-value < 2.220446e-16 #> alternative hypothesis: true correlation is greater than 0 t <- pmt( \"association.corr\", method = \"spearman\", alternative = \"two_sided\", n_permu = 10000 )$test(Table5.1.2)$print() #> #> \t Test for Association Between Paired Samples #> #> scoring: rank type: permu(10000) method: spearman #> statistic = 2059, p-value < 2.220446e-16 #> alternative hypothesis: true rho is not equal to 0 t$type <- \"asymp\" t #> #> \t Test for Association Between Paired Samples #> #> scoring: rank type: asymp method: spearman #> statistic = 0.8968008, p-value = 0.0002176436 #> alternative hypothesis: true rho is not equal to 0 t <- pmt( \"association.corr\", method = \"kendall\", alternative = \"greater\", n_permu = 0 )$test(Table5.2.2)$print() #> #> \t Test for Association Between Paired Samples #> #> scoring: rank type: permu(37800) method: kendall #> statistic = 0.2222222, p-value < 2.220446e-16 #> alternative hypothesis: true tau is greater than 0 t$type <- \"asymp\" t #> #> \t Test for Association Between Paired Samples #> #> scoring: rank type: asymp method: kendall #> statistic = 0.2222222, p-value = 0.1697136 #> alternative hypothesis: true tau is greater than 0"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":null,"dir":"Reference","previous_headings":"","what":"Two-Sample Test Based on Mean or Median — Difference","title":"Two-Sample Test Based on Mean or Median — Difference","text":"Performs mean/median based two-sample test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Two-Sample Test Based on Mean or Median — Difference","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> Difference","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Two-Sample Test Based on Mean or Median — Difference","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Two-Sample Test Based on Mean or Median — Difference","text":"Difference$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Two-Sample Test Based on Mean or Median — Difference","text":"Create new Difference object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Two-Sample Test Based on Mean or Median — Difference","text":"","code":"Difference$new( method = c(\"mean\", \"median\"), alternative = c(\"two_sided\", \"less\", \"greater\"), null_value = 0, n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Test Based on Mean or Median — Difference","text":"method character string specifying whether use mean median. alternative character string specifying alternative hypothesis. null_value number indicating true value location shift. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Test Based on Mean or Median — Difference","text":"Difference object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Two-Sample Test Based on Mean or Median — Difference","text":"","code":"pmt( \"twosample.difference\", method = \"mean\", alternative = \"greater\", n_permu = 0 )$test(Table2.1.1)$print()$plot( style = \"graphic\", breaks = seq(-20, 25, length.out = 9) ) #> #> \t Two-Sample Test Based on Mean or Median #> #> scoring: none type: permu(35) method: mean #> statistic = 16.16667, p-value = 0.05714286 #> alternative hypothesis: greater pmt( \"twosample.difference\", method = \"mean\", alternative = \"greater\", n_permu = 1000 )$test(Table2.3.1)$print() #> #> \t Two-Sample Test Based on Mean or Median #> #> scoring: none type: permu(1000) method: mean #> statistic = 1.675, p-value = 0.184 (± 0.02401608 at 95% confidence) #> alternative hypothesis: greater"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":null,"dir":"Reference","previous_headings":"","what":"Friedman Test — Friedman","title":"Friedman Test — Friedman","text":"Performs Friedman test samples collected randomized complete block design.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Friedman Test — Friedman","text":"LearnNonparam::PermuTest -> LearnNonparam::RCBDTest -> Friedman","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Friedman Test — Friedman","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Friedman Test — Friedman","text":"Friedman$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Friedman Test — Friedman","text":"Create new Friedman object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Friedman Test — Friedman","text":"","code":"Friedman$new(type = c(\"permu\", \"asymp\"), n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Friedman Test — Friedman","text":"type character string specifying way calculate p-value. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Friedman Test — Friedman","text":"Friedman object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Friedman Test — Friedman","text":"","code":"t <- pmt( \"rcbd.friedman\", n_permu = 0 )$test(Table4.5.3)$print() #> #> \t Friedman Test #> #> scoring: rank type: permu(576) method: default #> statistic = 28.33333, p-value = 0.04166667 t$type <- \"asymp\" t #> #> \t Friedman Test #> #> scoring: rank type: asymp method: default #> statistic = 7.5, p-value = 0.05755845"},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":null,"dir":"Reference","previous_headings":"","what":"Jonckheere-Terpstra Test — JonckheereTerpstra","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"Performs Jonckheere-Terpstra test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> JonckheereTerpstra","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"JonckheereTerpstra$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"Create new JonckheereTerpstra object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"","code":"JonckheereTerpstra$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"JonckheereTerpstra object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"","code":"t <- pmt( \"ksample.jt\", alternative = \"greater\" )$test(Table3.4.1)$print() #> #> \t Jonckheere-Terpstra Test #> #> scoring: none type: permu(10000) method: default #> statistic = 145, p-value = 0.0298 (± 0.003332628 at 95% confidence) #> alternative hypothesis: greater t$type <- \"asymp\" t #> #> \t Jonckheere-Terpstra Test #> #> scoring: none type: asymp method: default #> statistic = 145, p-value = 0.0285154 #> alternative hypothesis: greater"},{"path":"https://qddyy.github.io/LearnNonparam/reference/KSampleTest.html","id":null,"dir":"Reference","previous_headings":"","what":"KSampleTest Class — KSampleTest","title":"KSampleTest Class — KSampleTest","text":"Abstract class k-sample tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KSampleTest.html","id":"super-class","dir":"Reference","previous_headings":"","what":"Super class","title":"KSampleTest Class — KSampleTest","text":"LearnNonparam::PermuTest -> KSampleTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":null,"dir":"Reference","previous_headings":"","what":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"Performs two-sample Kolmogorov-Smirnov test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> KolmogorovSmirnov","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"KolmogorovSmirnov$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"Create new KolmogorovSmirnov object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"","code":"KolmogorovSmirnov$new(n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"KolmogorovSmirnov object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"","code":"pmt( \"twosample.ks\", n_permu = 0 )$test(Table2.8.1)$print() #> #> \t Two-Sample Kolmogorov-Smirnov Test #> #> scoring: none type: permu(252) method: default #> statistic = 0.4, p-value = 0.8730159"},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":null,"dir":"Reference","previous_headings":"","what":"Kruskal-Wallis Test — KruskalWallis","title":"Kruskal-Wallis Test — KruskalWallis","text":"Performs Kruskal-Wallis test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Kruskal-Wallis Test — KruskalWallis","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> KruskalWallis","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Kruskal-Wallis Test — KruskalWallis","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Kruskal-Wallis Test — KruskalWallis","text":"KruskalWallis$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Kruskal-Wallis Test — KruskalWallis","text":"Create new KruskalWallis object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Kruskal-Wallis Test — KruskalWallis","text":"","code":"KruskalWallis$new( type = c(\"permu\", \"asymp\"), scoring = c(\"rank\", \"vw\", \"expon\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Kruskal-Wallis Test — KruskalWallis","text":"type character string specifying way calculate p-value. scoring character string specifying scoring system. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Kruskal-Wallis Test — KruskalWallis","text":"KruskalWallis object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Kruskal-Wallis Test — KruskalWallis","text":"","code":"pmt( \"ksample.kw\", type = \"asymp\" )$test(Table3.2.2)$print() #> #> \t Kruskal-Wallis Test #> #> scoring: rank type: asymp method: default #> statistic = 17.14286, p-value = 0.0006605027 t <- pmt( \"ksample.kw\", type = \"permu\" )$test(Table3.2.3)$print() #> #> \t Kruskal-Wallis Test #> #> scoring: rank type: permu(10000) method: default #> statistic = 8.246588, p-value = 0.0119 (± 0.002125309 at 95% confidence) t$type <- \"asymp\" t #> #> \t Kruskal-Wallis Test #> #> scoring: rank type: asymp method: default #> statistic = 8.246588, p-value = 0.01619109"},{"path":"https://qddyy.github.io/LearnNonparam/reference/MultipleComparison.html","id":null,"dir":"Reference","previous_headings":"","what":"MultipleComparison Class — MultipleComparison","title":"MultipleComparison Class — MultipleComparison","text":"Abstract class multiple comparisons.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/MultipleComparison.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"MultipleComparison Class — MultipleComparison","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> MultipleComparison","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneSampleTest.html","id":null,"dir":"Reference","previous_headings":"","what":"OneSampleTest Class — OneSampleTest","title":"OneSampleTest Class — OneSampleTest","text":"Abstract class one-sample tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneSampleTest.html","id":"super-class","dir":"Reference","previous_headings":"","what":"Super class","title":"OneSampleTest Class — OneSampleTest","text":"LearnNonparam::PermuTest -> OneSampleTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneSampleTest.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"OneSampleTest Class — OneSampleTest","text":"LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneSampleTest.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"OneSampleTest Class — OneSampleTest","text":"OneSampleTest$plot()","code":""},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneSampleTest.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"OneSampleTest Class — OneSampleTest","text":"","code":"OneSampleTest$plot(...)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneSampleTest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"OneSampleTest Class — OneSampleTest","text":"... ignored.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":null,"dir":"Reference","previous_headings":"","what":"One-Way Test for Equal Means — OneWay","title":"One-Way Test for Equal Means — OneWay","text":"Performs F statistic based one-way test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"One-Way Test for Equal Means — OneWay","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> OneWay","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"One-Way Test for Equal Means — OneWay","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"One-Way Test for Equal Means — OneWay","text":"OneWay$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"One-Way Test for Equal Means — OneWay","text":"Create new OneWay object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"One-Way Test for Equal Means — OneWay","text":"","code":"OneWay$new(type = c(\"permu\", \"asymp\"), n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"One-Way Test for Equal Means — OneWay","text":"type character string specifying way calculate p-value. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"One-Way Test for Equal Means — OneWay","text":"OneWay object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"One-Way Test for Equal Means — OneWay","text":"","code":"# \\donttest{ t <- pmt( \"ksample.oneway\", n_permu = 0 )$test(Table3.1.2)$print() #> #> \t One-Way Test for Equal Means #> #> scoring: none type: permu(756756) method: default #> statistic = 11552.89, p-value = 0.05127412 t$type <- \"asymp\" t #> #> \t One-Way Test for Equal Means #> #> scoring: none type: asymp method: default #> statistic = 3.781445, p-value = 0.05327082 # }"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":null,"dir":"Reference","previous_headings":"","what":"Page Test — Page","title":"Page Test — Page","text":"Performs Page test samples collected randomized complete block design.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Page Test — Page","text":"LearnNonparam::PermuTest -> LearnNonparam::RCBDTest -> Page","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Page Test — Page","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Page Test — Page","text":"Page$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Page Test — Page","text":"Create new Page object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Page Test — Page","text":"","code":"Page$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Page Test — Page","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Page Test — Page","text":"Page object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Page Test — Page","text":"","code":"t <- pmt( \"rcbd.page\", alternative = \"less\" )$test(Table4.4.3)$print() #> #> \t Page Test #> #> scoring: rank type: permu(10000) method: default #> statistic = 134, p-value = 0.0121 (± 0.002142877 at 95% confidence) #> alternative hypothesis: less t$type <- \"asymp\" t #> #> \t Page Test #> #> scoring: rank type: asymp method: default #> statistic = 134, p-value = 0.01182581 #> alternative hypothesis: less"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":null,"dir":"Reference","previous_headings":"","what":"Paired Comparison Based on Differences — PairedDifference","title":"Paired Comparison Based on Differences — PairedDifference","text":"Performs differences based paired comparison samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Paired Comparison Based on Differences — PairedDifference","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSamplePairedTest -> PairedDifference","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"active-bindings","dir":"Reference","previous_headings":"","what":"Active bindings","title":"Paired Comparison Based on Differences — PairedDifference","text":"correct Whether apply continuity correction scoring set \"rank\".","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Paired Comparison Based on Differences — PairedDifference","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Paired Comparison Based on Differences — PairedDifference","text":"PairedDifference$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Paired Comparison Based on Differences — PairedDifference","text":"Create new PairedDifference object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Paired Comparison Based on Differences — PairedDifference","text":"","code":"PairedDifference$new( type = c(\"permu\", \"asymp\"), method = c(\"with_zeros\", \"without_zeros\"), scoring = c(\"none\", \"rank\", \"vw\", \"expon\"), alternative = c(\"two_sided\", \"less\", \"greater\"), null_value = 0, n_permu = 10000, correct = TRUE )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Paired Comparison Based on Differences — PairedDifference","text":"type character string specifying way calculate p-value. method character string specifying method ranking data computing adjusted signed scores tied data, must one \"with_zeros\" (default) \"without_zeros\". scoring character string specifying scoring system. alternative character string specifying alternative hypothesis. null_value number indicating true value location shift. n_permu integer indicating number permutations permutation distribution. set 0, permutations used. correct logical indicating whether apply continuity correction normal approximation p-value scoring set \"rank\".","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Paired Comparison Based on Differences — PairedDifference","text":"PairedDifference object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PairedDifference.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Paired Comparison Based on Differences — PairedDifference","text":"","code":"pmt( \"paired.difference\", alternative = \"greater\", scoring = \"none\", n_permu = 0 )$test(Table4.1.1)$print() #> #> \t Paired Comparison Based on Differences #> #> scoring: none type: permu(32) method: with_zeros #> statistic = 960, p-value = 0.09375 #> alternative hypothesis: greater pmt( \"paired.difference\", n_permu = 0 )$test(Table4.1.3)$print() #> #> \t Paired Comparison Based on Differences #> #> scoring: none type: permu(131072) method: with_zeros #> statistic = 148, p-value = 0.02502441 #> alternative hypothesis: two_sided t <- pmt( \"paired.difference\", scoring = \"rank\", alternative = \"greater\", n_permu = 0 )$test(Table4.1.1)$print() #> #> \t Paired Comparison Based on Differences #> #> scoring: rank type: permu(32) method: with_zeros #> statistic = 13, p-value = 0.09375 #> alternative hypothesis: greater t$type <- \"asymp\" t #> #> \t Paired Comparison Based on Differences #> #> scoring: rank type: asymp method: with_zeros #> statistic = 13, p-value = 0.08876493 #> alternative hypothesis: greater"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":null,"dir":"Reference","previous_headings":"","what":"PermuTest Class — PermuTest","title":"PermuTest Class — PermuTest","text":"Abstract class permutation tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"active-bindings","dir":"Reference","previous_headings":"","what":"Active bindings","title":"PermuTest Class — PermuTest","text":"type way calculate p-value. method method used. scoring scoring system used. alternative alternative hypothesis. null_value hypothesized value parameter null hypothesis. conf_level confidence level interval. n_permu number permutations used. data data. statistic test statistic. p_value p-value. estimate estimated value parameter. conf_int confidence interval parameter.","code":""},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"PermuTest Class — PermuTest","text":"PermuTest$test() PermuTest$print() PermuTest$plot()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"method-test-","dir":"Reference","previous_headings":"","what":"Method test()","title":"PermuTest Class — PermuTest","text":"Perform test sample(s).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"PermuTest Class — PermuTest","text":"","code":"PermuTest$test(...)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"PermuTest Class — PermuTest","text":"... sample(s). Can numeric vector(s) data.frame list containing .","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"PermuTest Class — PermuTest","text":"progress bar shown default. Use options(LearnNonparam.pmt_progress = FALSE) disable .","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"PermuTest Class — PermuTest","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"method-print-","dir":"Reference","previous_headings":"","what":"Method print()","title":"PermuTest Class — PermuTest","text":"Print results test.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"usage-1","dir":"Reference","previous_headings":"","what":"Usage","title":"PermuTest Class — PermuTest","text":"","code":"PermuTest$print()"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"returns-1","dir":"Reference","previous_headings":"","what":"Returns","title":"PermuTest Class — PermuTest","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"method-plot-","dir":"Reference","previous_headings":"","what":"Method plot()","title":"PermuTest Class — PermuTest","text":"Plot histogram(s) permutation distribution. Note method works type set \"permu\".","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"usage-2","dir":"Reference","previous_headings":"","what":"Usage","title":"PermuTest Class — PermuTest","text":"","code":"PermuTest$plot(style = c(\"graphics\", \"ggplot2\"), ...)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"arguments-1","dir":"Reference","previous_headings":"","what":"Arguments","title":"PermuTest Class — PermuTest","text":"style character string specifying package use. ... passed graphics::hist.default() ggplot2::stat_bin().","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"returns-2","dir":"Reference","previous_headings":"","what":"Returns","title":"PermuTest Class — PermuTest","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":null,"dir":"Reference","previous_headings":"","what":"Quantile Test — Quantile","title":"Quantile Test — Quantile","text":"Performs quantile test single sample. addition, estimation confidence interval desired quantile calculated.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Quantile Test — Quantile","text":"LearnNonparam::PermuTest -> LearnNonparam::OneSampleTest -> Quantile","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"active-bindings","dir":"Reference","previous_headings":"","what":"Active bindings","title":"Quantile Test — Quantile","text":"prob probability associated quantile. correct Whether apply continuity correction.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Quantile Test — Quantile","text":"LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test() LearnNonparam::OneSampleTest$plot()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Quantile Test — Quantile","text":"Quantile$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Quantile Test — Quantile","text":"Create new Quantile object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Quantile Test — Quantile","text":"","code":"Quantile$new( type = c(\"asymp\", \"exact\"), alternative = c(\"two_sided\", \"less\", \"greater\"), null_value = 0, conf_level = 0.95, prob = 0.5, correct = TRUE )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Quantile Test — Quantile","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. null_value number indicating hypothesized value quantile. conf_level number zero one indicating confidence level use. prob number zero one indicating probability associated quantile. correct logical indicating whether apply continuity correction normal approximation p-value.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Quantile Test — Quantile","text":"Quantile object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Quantile Test — Quantile","text":"","code":"pmt( \"onesample.quantile\", prob = 0.5, null_value = 75, alternative = \"greater\", type = \"asymp\", correct = FALSE )$test(Table1.1.1)$print() #> #> \t Quantile Test #> #> scoring: none type: asymp method: default #> statistic = 26, p-value = 0.02888979 #> alternative hypothesis: true 0.5 quantile is greater than 75 #> estimate: 75.35 #> 95% confidence interval: (75, 77.1) pmt( \"onesample.quantile\", prob = 0.25, conf_level = 0.90 )$test(Table1.2.1)$conf_int #> [1] 11 29"},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":null,"dir":"Reference","previous_headings":"","what":"One-Way Test for Equal Means in RCBD — RCBDOneWay","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"Performs F statistic based one-way test samples collected randomized complete block design.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"LearnNonparam::PermuTest -> LearnNonparam::RCBDTest -> RCBDOneWay","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"RCBDOneWay$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"Create new RCBDOneWay object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"","code":"RCBDOneWay$new(type = c(\"permu\", \"asymp\"), n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"type character string specifying way calculate p-value. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"RCBDOneWay object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDOneWay.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"One-Way Test for Equal Means in RCBD — RCBDOneWay","text":"","code":"t <- pmt( \"rcbd.oneway\", n_permu = 5000 )$test(Table4.4.3)$print() #> #> \t One-Way Test for Equal Means in RCBD #> #> scoring: none type: permu(5000) method: default #> statistic = 110241.8, p-value = 0.0598 (± 0.006572397 at 95% confidence) t$type <- \"asymp\" t #> #> \t One-Way Test for Equal Means in RCBD #> #> scoring: none type: asymp method: default #> statistic = 3.121093, p-value = 0.057516"},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDTest.html","id":null,"dir":"Reference","previous_headings":"","what":"RCBDTest Class — RCBDTest","title":"RCBDTest Class — RCBDTest","text":"Abstract class tests samples collected randomized complete block designs.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RCBDTest.html","id":"super-class","dir":"Reference","previous_headings":"","what":"Super class","title":"RCBDTest Class — RCBDTest","text":"LearnNonparam::PermuTest -> RCBDTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":null,"dir":"Reference","previous_headings":"","what":"Ratio Mean Deviance Test — RatioMeanDeviance","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"Performs ratio mean deviance test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> RatioMeanDeviance","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"RatioMeanDeviance$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"Create new RatioMeanDeviance object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"","code":"RatioMeanDeviance$new( alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"RatioMeanDeviance object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/RatioMeanDeviance.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Ratio Mean Deviance Test — RatioMeanDeviance","text":"","code":"pmt( \"twosample.rmd\", alternative = \"greater\", n_permu = 0 )$test(Table2.8.1)$print() #> #> \t Ratio Mean Deviance Test #> #> scoring: none type: permu(252) method: default #> statistic = 4.666667, p-value = 0.06349206 #> alternative hypothesis: true ratio of scales is greater than 1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":null,"dir":"Reference","previous_headings":"","what":"Two-Sample Test Based on Sum of Scores — ScoreSum","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"Performs sum scores based two-sample test samples. almost two-sample wilcoxon rank sum test uses scoring systems.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> ScoreSum","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"ScoreSum$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"Create new ScoreSum object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"","code":"ScoreSum$new( scoring = c(\"rank\", \"vw\", \"expon\"), alternative = c(\"two_sided\", \"less\", \"greater\"), null_value = 0, n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"scoring character string specifying scoring system. alternative character string specifying alternative hypothesis. null_value number indicating true value location shift. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"ScoreSum object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"","code":"pmt( \"twosample.scoresum\", scoring = \"expon\", alternative = \"greater\", n_permu = 0 )$test(Table2.6.2)$print() #> #> \t Two-Sample Test Based on Sum of Scores #> #> scoring: expon type: permu(924) method: default #> statistic = 9.752597, p-value = 0.002164502 #> alternative hypothesis: greater"},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":null,"dir":"Reference","previous_headings":"","what":"Siegel-Tukey Test — SiegelTukey","title":"Siegel-Tukey Test — SiegelTukey","text":"Performs Siegel-Tukey test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Siegel-Tukey Test — SiegelTukey","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> LearnNonparam::Wilcoxon -> SiegelTukey","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Siegel-Tukey Test — SiegelTukey","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Siegel-Tukey Test — SiegelTukey","text":"SiegelTukey$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Siegel-Tukey Test — SiegelTukey","text":"Create new SiegelTukey object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Siegel-Tukey Test — SiegelTukey","text":"","code":"SiegelTukey$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000, correct = TRUE )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Siegel-Tukey Test — SiegelTukey","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used. correct logical indicating whether apply continuity correction normal approximation p-value.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Siegel-Tukey Test — SiegelTukey","text":"SiegelTukey object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Siegel-Tukey Test — SiegelTukey","text":"","code":"pmt( \"twosample.siegel\", alternative = \"greater\", n_permu = 0 )$test(Table2.8.1)$print() #> #> \t Siegel-Tukey Test #> #> scoring: Siegel-Tukey rank type: permu(252) method: default #> statistic = 24, p-value = 0.2738095 #> alternative hypothesis: true ratio of scales is greater than 1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":null,"dir":"Reference","previous_headings":"","what":"Two-Sample Sign Test — Sign","title":"Two-Sample Sign Test — Sign","text":"Performs two-sample sign test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Two-Sample Sign Test — Sign","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSamplePairedTest -> Sign","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"active-bindings","dir":"Reference","previous_headings":"","what":"Active bindings","title":"Two-Sample Sign Test — Sign","text":"correct Whether apply continuity correction.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Two-Sample Sign Test — Sign","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Two-Sample Sign Test — Sign","text":"Sign$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Two-Sample Sign Test — Sign","text":"Create new Sign object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Two-Sample Sign Test — Sign","text":"","code":"Sign$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000, correct = TRUE )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Sign Test — Sign","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set 0, permutations used. correct logical indicating whether apply continuity correction normal approximation p-value.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Sign Test — Sign","text":"Sign object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Two-Sample Sign Test — Sign","text":"","code":"t <- pmt( \"paired.sign\", alternative = \"greater\", n_permu = 0 )$test( rep(c(+1, -1), c(12, 5)), rep(0, 17) )$print() #> #> \t Two-Sample Sign Test #> #> scoring: none type: permu(131072) method: default #> statistic = 12, p-value = 0.07173157 #> alternative hypothesis: greater t$type <- \"asymp\" t #> #> \t Two-Sample Sign Test #> #> scoring: none type: asymp method: default #> statistic = 12, p-value = 0.07280505 #> alternative hypothesis: greater"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":null,"dir":"Reference","previous_headings":"","what":"Multiple Comparison Based on Studentized Statistic — Studentized","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"Performs studentized statistic based multiple comparison samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> LearnNonparam::MultipleComparison -> Studentized","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"Studentized$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"Create new Studentized object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"","code":"Studentized$new( type = c(\"permu\", \"asymp\"), method = c(\"bonferroni\", \"tukey\"), scoring = c(\"none\", \"rank\", \"vw\", \"expon\"), conf_level = 0.95, n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"type character string specifying way calculate p-value. method character string specifying whether use Bonferroni's method Tukey's HSD method. scoring character string specifying scoring system. conf_level number zero one indicating family-wise confidence level use. n_permu integer indicating number permutations permutation distribution. set 0, permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"Studentized object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"","code":"t <- pmt( \"multcomp.studentized\", method = \"bonferroni\" )$test(Table3.3.1)$print() #> #> \t Multiple Comparison Based on Studentized Statistic #> #> scoring: none type: permu(10000) method: bonferroni #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.02737145 0.9754 #> location_1 ~ location_3 -1.77914406 0.0844 #> location_1 ~ location_4 -3.41048230 0.0018 * #> location_2 ~ location_3 -1.80651550 0.0868 #> location_2 ~ location_4 -3.43785375 0.0018 * #> location_3 ~ location_4 -1.63133824 0.1154 t$type <- \"asymp\" t #> #> \t Multiple Comparison Based on Studentized Statistic #> #> scoring: none type: asymp method: bonferroni #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.02737145 0.978434752 #> location_1 ~ location_3 -1.77914406 0.090419680 #> location_1 ~ location_4 -3.41048230 0.002773484 * #> location_2 ~ location_3 -1.80651550 0.085909110 #> location_2 ~ location_4 -3.43785375 0.002603664 * #> location_3 ~ location_4 -1.63133824 0.118466249 t$scoring <- \"rank\" t #> #> \t Multiple Comparison Based on Studentized Statistic #> #> scoring: rank type: asymp method: bonferroni #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.1224745 0.902523250 #> location_1 ~ location_3 -1.3880442 0.165123590 #> location_1 ~ location_4 -2.6536139 0.007963489 * #> location_2 ~ location_3 -1.5105187 0.130911128 #> location_2 ~ location_4 -2.7760884 0.005501725 * #> location_3 ~ location_4 -1.2655697 0.205667180 t$method <- \"tukey\" t #> #> \t Multiple Comparison Based on Studentized Statistic #> #> scoring: rank type: asymp method: tukey #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.1732051 0.99934385 #> location_1 ~ location_3 1.9629909 0.50683497 #> location_1 ~ location_4 3.7527767 0.03978340 * #> location_2 ~ location_3 2.1361960 0.43109997 #> location_2 ~ location_4 3.9259818 0.02817015 * #> location_3 ~ location_4 1.7897858 0.58494735 t$scoring <- \"none\" t #> #> \t Multiple Comparison Based on Studentized Statistic #> #> scoring: none type: asymp method: tukey #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.03870907 0.99999236 #> location_1 ~ location_3 2.51608965 0.31194094 #> location_1 ~ location_4 4.82315032 0.01356971 * #> location_2 ~ location_3 2.55479873 0.29951264 #> location_2 ~ location_4 4.86185939 0.01277452 * #> location_3 ~ location_4 2.30706067 0.38453323 t$type <- \"permu\" t #> #> \t Multiple Comparison Based on Studentized Statistic #> #> scoring: none type: permu(10000) method: tukey #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.03870907 1.0000 #> location_1 ~ location_3 2.51608965 0.3172 #> location_1 ~ location_4 4.82315032 0.0150 * #> location_2 ~ location_3 2.55479873 0.3052 #> location_2 ~ location_4 4.86185939 0.0143 * #> location_3 ~ location_4 2.30706067 0.3921"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table1.1.1.html","id":null,"dir":"Reference","previous_headings":"","what":"Sodium Contents — Table1.1.1","title":"Sodium Contents — Table1.1.1","text":"Sodium contents (mg) 40 servings food product.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table1.1.1.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sodium Contents — Table1.1.1","text":"","code":"Table1.1.1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table1.1.1.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Sodium Contents — Table1.1.1","text":"object class numeric length 40.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table1.1.1.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Sodium Contents — Table1.1.1","text":"Table 1.1.1","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table1.2.1.html","id":null,"dir":"Reference","previous_headings":"","what":"Cycles Until Failure — Table1.2.1","title":"Cycles Until Failure — Table1.2.1","text":"number cycles (thousands) takes 20 door latches fail.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table1.2.1.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cycles Until Failure — Table1.2.1","text":"","code":"Table1.2.1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table1.2.1.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cycles Until Failure — Table1.2.1","text":"object class numeric length 20.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table1.2.1.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Cycles Until Failure — Table1.2.1","text":"Table 1.2.1","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.1.1.html","id":null,"dir":"Reference","previous_headings":"","what":"Test Scores — Table2.1.1","title":"Test Scores — Table2.1.1","text":"Test scores 7 employees comparison methods instruction.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.1.1.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test Scores — Table2.1.1","text":"","code":"Table2.1.1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.1.1.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Test Scores — Table2.1.1","text":"object class list length 2.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.1.1.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Test Scores — Table2.1.1","text":"Table 2.1.1","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.3.1.html","id":null,"dir":"Reference","previous_headings":"","what":"Runoff Minutes — Table2.3.1","title":"Runoff Minutes — Table2.3.1","text":"numbers minutes took obtain various amounts runoff plot.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.3.1.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Runoff Minutes — Table2.3.1","text":"","code":"Table2.3.1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.3.1.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Runoff Minutes — Table2.3.1","text":"object class data.frame 8 rows 2 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.3.1.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Runoff Minutes — Table2.3.1","text":"Table 2.3.1","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.6.1.html","id":null,"dir":"Reference","previous_headings":"","what":"Hours Until Recharge — Table2.6.1","title":"Hours Until Recharge — Table2.6.1","text":"numbers hours 2 brands laptop computers function battery recharging necessary.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.6.1.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hours Until Recharge — Table2.6.1","text":"","code":"Table2.6.1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.6.1.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Hours Until Recharge — Table2.6.1","text":"object class data.frame 4 rows 2 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3 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.1.2.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Normal Samples — Table3.1.2","text":"Table 3.1.2","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.2.2.html","id":null,"dir":"Reference","previous_headings":"","what":"Logarithms of Bacteria Counts — Table3.2.2","title":"Logarithms of Bacteria Counts — Table3.2.2","text":"Logarithms counts bacteria 4 samples, respectively treated 3 kills left untreated control.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.2.2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Logarithms of Bacteria Counts — Table3.2.2","text":"","code":"Table3.2.2"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.2.2.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Logarithms of Bacteria Counts — 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Table3.3.1","text":"","code":"Table3.3.1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.3.1.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Percentages of Clay — Table3.3.1","text":"object class data.frame 6 rows 4 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.3.1.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Percentages of Clay — Table3.3.1","text":"Table 3.3.1","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.4.1.html","id":null,"dir":"Reference","previous_headings":"","what":"Phosphorus Contents — Table3.4.1","title":"Phosphorus Contents — Table3.4.1","text":"Phosphorus contents plants 4 mowing treatments.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.4.1.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Phosphorus Contents — Table3.4.1","text":"","code":"Table3.4.1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.4.1.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Phosphorus Contents — Table3.4.1","text":"object class data.frame 6 rows 4 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.4.1.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Phosphorus Contents — Table3.4.1","text":"Table 3.4.1","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.1.1.html","id":null,"dir":"Reference","previous_headings":"","what":"Caloric Intake — Table4.1.1","title":"Caloric Intake — Table4.1.1","text":"estimated daily caloric intake dietary information provided using 2 methods group college women.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.1.1.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Caloric Intake — Table4.1.1","text":"","code":"Table4.1.1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.1.1.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Caloric Intake — Table4.1.1","text":"object class data.frame 5 rows 2 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.1.1.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Caloric Intake — Table4.1.1","text":"Table 4.1.1","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.1.3.html","id":null,"dir":"Reference","previous_headings":"","what":"Cholesterol Reduction — Table4.1.3","title":"Cholesterol Reduction — Table4.1.3","text":"Reduction cholesterol twins given 2 drugs separately.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.1.3.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cholesterol Reduction — Table4.1.3","text":"","code":"Table4.1.3"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.1.3.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cholesterol Reduction — Table4.1.3","text":"object class data.frame 17 rows 2 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.1.3.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Cholesterol Reduction — Table4.1.3","text":"Table 4.1.3","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.4.3.html","id":null,"dir":"Reference","previous_headings":"","what":"Yield Data — Table4.4.3","title":"Yield Data — Table4.4.3","text":"Yield data randomized complete block design 4 different types tractors used tilling soil. blocking factor location fields.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.4.3.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Yield Data — Table4.4.3","text":"","code":"Table4.4.3"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.4.3.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Yield Data — Table4.4.3","text":"object class data.frame 4 rows 6 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.4.3.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Yield Data — Table4.4.3","text":"Table 4.4.3","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.5.3.html","id":null,"dir":"Reference","previous_headings":"","what":"Randomized Complete Block with Ties — Table4.5.3","title":"Randomized Complete Block with Ties — Table4.5.3","text":"randomized complete block design 4 treatments 3 blocks.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.5.3.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Randomized Complete Block with Ties — Table4.5.3","text":"","code":"Table4.5.3"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.5.3.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Randomized Complete Block with Ties — Table4.5.3","text":"object class data.frame 4 rows 3 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table4.5.3.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Randomized Complete Block with Ties — Table4.5.3","text":"Table 4.5.3","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.1.2.html","id":null,"dir":"Reference","previous_headings":"","what":"Heterophils and Lymphocytes — Table5.1.2","title":"Heterophils and Lymphocytes — Table5.1.2","text":"Counts heterophils lymphocytes blood samples 18 healthy rabbits.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.1.2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Heterophils and Lymphocytes — Table5.1.2","text":"","code":"Table5.1.2"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.1.2.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Heterophils and Lymphocytes — Table5.1.2","text":"object class data.frame 18 rows 2 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.1.2.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Heterophils and Lymphocytes — Table5.1.2","text":"Table5.1.2","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.2.2.html","id":null,"dir":"Reference","previous_headings":"","what":"Scores of Projects — Table5.2.2","title":"Scores of Projects — Table5.2.2","text":"Scores 10 projects science fair.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.2.2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Scores of Projects — Table5.2.2","text":"","code":"Table5.2.2"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.2.2.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Scores of Projects — Table5.2.2","text":"object class data.frame 10 rows 2 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.2.2.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Scores of Projects — Table5.2.2","text":"Table5.2.2","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.4.2.html","id":null,"dir":"Reference","previous_headings":"","what":"Satisfaction with Pain-Relief Treatment — Table5.4.2","title":"Satisfaction with Pain-Relief Treatment — Table5.4.2","text":"Patients' responses 2 methods relieving postoperative pain.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.4.2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Satisfaction with Pain-Relief Treatment — Table5.4.2","text":"","code":"Table5.4.2"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.4.2.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Satisfaction with Pain-Relief Treatment — Table5.4.2","text":"object class data.frame 2 rows 3 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table5.4.2.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Satisfaction with Pain-Relief Treatment — Table5.4.2","text":"Table5.4.2","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/TwoSampleAssociationTest.html","id":null,"dir":"Reference","previous_headings":"","what":"TwoSampleAssociationTest Class — TwoSampleAssociationTest","title":"TwoSampleAssociationTest Class — TwoSampleAssociationTest","text":"Abstract class two-sample association tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/TwoSampleAssociationTest.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"TwoSampleAssociationTest Class — TwoSampleAssociationTest","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSamplePairedTest -> TwoSampleAssociationTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/TwoSampleLocationTest.html","id":null,"dir":"Reference","previous_headings":"","what":"TwoSampleLocationTest Class — TwoSampleLocationTest","title":"TwoSampleLocationTest Class — TwoSampleLocationTest","text":"Abstract class two-sample location tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/TwoSampleLocationTest.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"TwoSampleLocationTest Class — TwoSampleLocationTest","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> TwoSampleLocationTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/TwoSamplePairedTest.html","id":null,"dir":"Reference","previous_headings":"","what":"TwoSamplePairedTest Class — TwoSamplePairedTest","title":"TwoSamplePairedTest Class — TwoSamplePairedTest","text":"Abstract class paired two-sample tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/TwoSamplePairedTest.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"TwoSamplePairedTest Class — TwoSamplePairedTest","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> TwoSamplePairedTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/TwoSampleTest.html","id":null,"dir":"Reference","previous_headings":"","what":"TwoSampleTest Class — TwoSampleTest","title":"TwoSampleTest Class — TwoSampleTest","text":"Abstract class two-sample tests.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/TwoSampleTest.html","id":"super-class","dir":"Reference","previous_headings":"","what":"Super class","title":"TwoSampleTest Class — TwoSampleTest","text":"LearnNonparam::PermuTest -> TwoSampleTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":null,"dir":"Reference","previous_headings":"","what":"Two-Sample Wilcoxon Test — Wilcoxon","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"Performs two-sample wilcoxon test samples. addition, estimation confidence interval location shift calculated.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> Wilcoxon","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"active-bindings","dir":"Reference","previous_headings":"","what":"Active bindings","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"correct Whether apply continuity correction.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"LearnNonparam::PermuTest$plot() LearnNonparam::PermuTest$print() LearnNonparam::PermuTest$test()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"public-methods","dir":"Reference","previous_headings":"","what":"Public methods","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"Wilcoxon$new()","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"method-new-","dir":"Reference","previous_headings":"","what":"Method new()","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"Create new Wilcoxon object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"","code":"Wilcoxon$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), null_value = 0, conf_level = 0.95, n_permu = 10000, correct = TRUE )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. null_value number indicating true value location shift. conf_level number zero one indicating confidence level use. n_permu integer indicating number permutations permutation distribution. set 0, permutations used. correct logical indicating whether apply continuity correction normal approximation p-value.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"Wilcoxon object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Wilcoxon.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Two-Sample Wilcoxon Test — Wilcoxon","text":"","code":"pmt( \"twosample.wilcoxon\", alternative = \"greater\", n_permu = 0 )$test(Table2.1.1)$print() #> #> \t Two-Sample Wilcoxon Test #> #> scoring: rank type: permu(35) method: default #> statistic = 21, p-value = 0.05714286 #> alternative hypothesis: true location shift is greater than 0 #> estimate: 16 #> 95% confidence interval: (-Inf, Inf) pmt( \"twosample.wilcoxon\", alternative = \"less\", n_permu = 0 )$test(Table2.6.1)$print() #> #> \t Two-Sample Wilcoxon Test #> #> scoring: rank type: permu(70) method: default #> statistic = 14, p-value = 0.1714286 #> alternative hypothesis: true location shift is less than 0 #> estimate: -0.35 #> 95% confidence interval: (-1.2, 0.5) pmt( \"twosample.wilcoxon\", conf_level = 0.90 )$test(Table2.6.2)$conf_int #> [1] 13.84 47.96"},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":null,"dir":"Reference","previous_headings":"","what":"Syntactic Sugar for Object Construction — pmt","title":"Syntactic Sugar for Object Construction — pmt","text":"Construct test objects unified way.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Syntactic Sugar for Object Construction — pmt","text":"","code":"pmt(key, ...) pmts( which = c(\"all\", \"onesample\", \"twosample\", \"ksample\", \"multcomp\", \"paired\", \"rcbd\", \"association\", \"table\") ) define_pmt( inherit = c(\"twosample\", \"ksample\", \"paired\", \"rcbd\", \"association\", \"table\"), statistic, rejection = c(\"lr\", \"l\", \"r\"), scoring = \"none\", n_permu = 10000, name = \"User-Defined Permutation Test\", alternative = NULL, depends = character(), plugins = character(), includes = character() )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Syntactic Sugar for Object Construction — pmt","text":"key character string specifying test. Check pmts() valid keys. ... extra parameters passed constructor. character string specifying desired tests. inherit character string specifying type permutation test. statistic definition test statistic. See details. rejection character string specifying rejection region . scoring one : - character string c(\"none\", \"rank\", \"vw\", \"expon\") specifying scoring system - function takes numeric vector returns equal-length score vector n_permu integer indicating number permutations permutation distribution. set 0, permutations used. name character string specifying name test. alternative character string describing alternative hypothesis. depends, plugins, includes passed Rcpp::cppFunction().","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Syntactic Sugar for Object Construction — pmt","text":"test object corresponding specified key. data frame containing keys corresponding tests implemented package. test object based specified statistic.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Syntactic Sugar for Object Construction — pmt","text":"test statistic can defined using either R Rcpp, statistic parameter specified : R: function returning closure returns double. Rcpp: character string defining captureless lambda (since C++11) returning another lambda captures value, accepts parameters type, returns double. purpose design pre-calculate certain constants remain invariant permutation. using Rcpp, parameters different inherit listed follows. Note names can customized, types can replaced auto (thanks support generic lambdas C++14). See examples. using R, parameters R equivalents .","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Syntactic Sugar for Object Construction — pmt","text":"statistic cause errors return missing values. data permuted -place. Therefore, modifications data within statistic may lead incorrect results. Since R copy--modify semantics C++ , recommended pass const references using Rcpp define_pmt, shown table .","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/pmt.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Syntactic Sugar for Object Construction — pmt","text":"","code":"pmt(\"twosample.wilcoxon\") #> #> Inherits from: #> Public: #> alternative: active binding #> conf_int: active binding #> conf_level: active binding #> correct: active binding #> data: active binding #> estimate: active binding #> initialize: function (type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", #> method: active binding #> n_permu: active binding #> null_value: active binding #> p_value: active binding #> plot: function (style = c(\"graphics\", \"ggplot2\"), ...) #> print: function () #> scoring: active binding #> statistic: active binding #> test: function (...) #> type: active binding #> Private: #> .alternative: two_sided #> .autoplot: function (...) #> .calculate: function () #> .calculate_extra: function () #> .calculate_n_permu: function () #> .calculate_p: function () #> .calculate_p_permu: function () #> .calculate_score: function () #> .calculate_side: function () #> .calculate_statistic: function () #> .compile_statistic_closure: function () #> .conf_int: NULL #> .conf_level: 0.95 #> .correct: TRUE #> .data: NULL #> .define: function () #> .estimate: NULL #> .link: + #> .method: default #> .n_permu: 10000 #> .name: Two-Sample Wilcoxon Test #> .null_value: 0 #> .on_alternative_change: function () #> .on_conf_level_change: function () #> .on_method_change: function () #> .on_n_permu_change: function () #> .on_null_value_change: function () #> .on_scoring_change: function () #> .on_type_change: function () #> .p_value: NULL #> .param_name: location shift #> .plot: function (...) #> .preprocess: function () #> .print: function () #> .raw_data: NULL #> .scoring: rank #> .side: NULL #> .statistic: NULL #> .statistic_func: NULL #> .type: permu pmts(\"ksample\") #> key class test #> 1 ksample.oneway OneWay One-Way Test for Equal Means #> 2 ksample.kw KruskalWallis Kruskal-Wallis Test #> 3 ksample.jt JonckheereTerpstra Jonckheere-Terpstra Test x <- rnorm(5) y <- rnorm(5, 1) t <- define_pmt( inherit = \"twosample\", scoring = base::rank, # equivalent to \"rank\" statistic = function(...) function(x, y) sum(x) )$test(x, y)$print() #> #> \t User-Defined Permutation Test #> #> scoring: custom type: permu(10000) method: default #> statistic = 19, p-value = 0.09 (± 0.005609059 at 95% confidence) t$scoring <- function(x) qnorm(rank(x) / (length(x) + 1)) # equivalent to \"vw\" t$print() #> #> \t User-Defined Permutation Test #> #> scoring: custom type: permu(10000) method: default #> statistic = -2.38528, p-value = 0.0654 (± 0.004845626 at 95% confidence) t$n_permu <- 0 t$print() #> #> \t User-Defined Permutation Test #> #> scoring: custom type: permu(252) method: default #> statistic = -2.38528, p-value = 0.06349206 # \\donttest{ r <- define_pmt( inherit = \"twosample\", n_permu = 1e5, statistic = function(x, y) { m <- length(x) n <- length(y) function(x, y) sum(x) / m - sum(y) / n } ) rcpp <- define_pmt( inherit = \"twosample\", n_permu = 1e5, statistic = \"[](const auto& x, const auto& y) { auto m = x.length(); auto n = y.length(); return [=](const auto& x, const auto& y) { return sum(x) / m - sum(y) / n; }; }\" ) # equivalent # rcpp <- define_pmt( # inherit = \"twosample\", n_permu = 1e5, # statistic = \"[](const NumericVector& x, const NumericVector& y) { # R_xlen_t m = x.length(); # R_xlen_t n = y.length(); # return [m, n](const NumericVector& x, const NumericVector& y) -> double { # return sum(x) / m - sum(y) / n; # }; # }\" # ) options(LearnNonparam.pmt_progress = FALSE) system.time(r$test(x, y)) #> user system elapsed #> 0.132 0.000 0.132 system.time(rcpp$test(x, y)) #> user system elapsed #> 0.009 0.000 0.009 # }"},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-126","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.6","title":"LearnNonparam 1.2.6","text":"CRAN release: 2024-12-17 Fixed issue parameter passing ggplot2::stat_bin plot() Added detection missing values zero-length data test() Switched version 3 serialization format Added documentation Improved efficiency calling R C++ Enhanced permuting efficiency rcbd.*, association.*, table.* Replaced R_len_t R_xlen_t support long vectors Replaced Rcpp.h Rcpp/Lightest reduce compilation time","code":""},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-125","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.5","title":"LearnNonparam 1.2.5","text":"CRAN release: 2024-11-14 Added support scoring active binding define_pmt Corrected x-axis range plot() style = \"graphics\" Improved performance PairedDifference","code":""},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-124","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.4","title":"LearnNonparam 1.2.4","text":"CRAN release: 2024-11-12 Added support custom scoring systems define_pmt Enabled compatibility C++ standard versions beyond C++14 define_pmt Improved performance KruskalWallis, OneWay, Studentized Replaced certain warning() calls stop() Refined text Enhanced permuting efficiency twosample_pmt","code":""},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-123","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.3","title":"LearnNonparam 1.2.3","text":"CRAN release: 2024-10-15 Improved twosample_pmt Added examples Fixed SiegelTukey ContingencyTableTest","code":""},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-122","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.2","title":"LearnNonparam 1.2.2","text":"Changed default value n_permu 1e4 Added support test statistics defined using Rcpp define_pmt Added support null_value zero two-sample location tests Added support scoring TwoSampleAssociationTest Added confidence interval p-value print() Added LearnNonparam.pmt_progress option Added attr(t$n_permu, \"n_used\") Replaced multicomp.* multcomp.* Replaced KSampleF RCBDF OneWay RCBDOneWay Stopped exporting abstract classes (TwoSampleTest, KSampleTest, etc.) Improved efficiency ChiSquare, Difference, JonckheereTerpstra, KruskalWallis, RatioMeanDeviance Studentized Fixed many bugs Introduced new progress bar, built compile time minimize runtime overhead","code":""},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-121","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.1","title":"LearnNonparam 1.2.1","text":"Added define_pmt Added error messages Added active bindings Introduced graphics alternative ggplot2 Introduced compiler::cmpfun better performance Renamed ANOVA, RCBD, RCBDANOVA SignedDiff Replaced MultiCompT TukeyHSD Studentized Replaced \"approx\" \"asymp\" Improved MultipleComparison Improved CDF$plot() Fixed many bugs new progress bar Support larger n_permu","code":""},{"path":"https://qddyy.github.io/LearnNonparam/news/index.html","id":"learnnonparam-120","dir":"Changelog","previous_headings":"","what":"LearnNonparam 1.2.0","title":"LearnNonparam 1.2.0","text":"Added logo Introduced Rcpp Replaced Mean Difference Replaced SignedScore SignedDiff Replaced PermuTest$feed() PermuTest$test() Accelerated RCBD TwoSamplePairedTest Improved print() plot() method CDF, MultipleComparison PermuTest Added \"approx\" option Quantile$type Fixed many bugs","code":""}]