t$statistic
#> [1] 4.666667
t$p_value
-#> [1] 0.06349206
+#> [1] 0.0515873
+#> [1] NA
diff --git a/pkgdown.yml b/pkgdown.yml
index 37b7f315..82882793 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -3,7 +3,7 @@ pkgdown: 2.1.0
pkgdown_sha: ~
articles:
examples: examples.html
-last_built: 2024-08-03T19:42Z
+last_built: 2024-08-19T21:29Z
urls:
reference: https://qddyy.github.io/LearnNonparam/reference
article: https://qddyy.github.io/LearnNonparam/articles
diff --git a/search.json b/search.json
index dd72a325..e9078b42 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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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":[]},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-1-1-2","dir":"Articles","previous_headings":"Chapter 1","what":"Example 1.1.2","title":"Examples","text":"","code":"# See ?Quantile or ?onesample.quantile t <- pmt( \"onesample.quantile\", alternative = \"greater\", prob = 0.5, null_value = 75, type = \"asymp\", correct = FALSE ) # See ?Table1.1.1 t$test(Table1.1.1) t$statistic #> [1] 26 t$p_value #> [1] 0.02888979 t$conf_int #> [1] 75.0 77.1"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-1-2-1","dir":"Articles","previous_headings":"Chapter 1","what":"Example 1.2.1","title":"Examples","text":"","code":"# See ?CDF or ?onesample.cdf t <- pmt(\"onesample.cdf\") # See ?Table1.2.1 t$test(Table1.2.1) t$plot(style = \"ggplot2\")"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-1-2-4","dir":"Articles","previous_headings":"Chapter 1","what":"Example 1.2.4","title":"Examples","text":"","code":"# See ?Quantile or ?onesample.quantile t <- pmt( \"onesample.quantile\", prob = 0.25, null_value = 0, conf_level = 0.90 ) # See ?Table1.2.1 t$test(Table1.2.1) t$conf_int #> [1] 11 29"},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"table-2-1-1","dir":"Articles","previous_headings":"Chapter 2","what":"Table 2.1.1","title":"Examples","text":"","code":"# See ?Difference or ?twosample.difference t <- pmt( \"twosample.difference\", alternative = \"greater\", method = \"mean\", n_permu = 0 ) # See ?Table2.1.1 t$test(Table2.1.1) t$statistic #> [1] 16.16667 t$p_value #> [1] 0.05714286"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"table-2-1-1---wilcoxon","dir":"Articles","previous_headings":"Chapter 2","what":"Table 2.1.1 - wilcoxon","title":"Examples","text":"","code":"# See ?Wilcoxon or ?twosample.wilcoxon t <- pmt( \"twosample.wilcoxon\", alternative = \"greater\", n_permu = 0 ) # See ?Table2.1.1 t$test(Table2.1.1) t$statistic #> [1] 21 t$p_value #> [1] 0.05714286"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-3-1","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.3.1","title":"Examples","text":"","code":"# See ?Difference or ?twosample.difference t <- pmt( \"twosample.difference\", alternative = \"greater\", method = \"mean\", n_permu = 0 ) # See ?Table2.3.1 t$test(Table2.3.1) t$statistic #> [1] 1.675 # all permutaions t$p_value #> [1] 0.1966589 # 1000 permutaions t$n_permu <- 1000 t$p_value #> [1] 0.188"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-6-1","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.6.1","title":"Examples","text":"","code":"# See ?Wilcoxon or ?twosample.wilcoxon t <- pmt( \"twosample.wilcoxon\", alternative = \"greater\", n_permu = 0 ) # See ?Table2.6.1 t$test(Table2.6.1) t$statistic #> [1] 14 t$p_value #> [1] 0.9"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-6-2","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.6.2","title":"Examples","text":"","code":"# See ?Wilcoxon or ?twosample.wilcoxon t <- pmt( \"twosample.wilcoxon\", conf_level = 0.90 ) # See ?Table2.6.2 t$test(Table2.6.2) t$estimate #> [1] 30.045 t$conf_int #> [1] 13.84 47.96"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-7-1","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.7.1","title":"Examples","text":"","code":"# See ?ScoreSum or ?twosample.scoresum t <- pmt( \"twosample.scoresum\", alternative = \"greater\", scoring = \"expon\", n_permu = 0 ) # See ?Table2.6.2 t$test(Table2.6.2) t$statistic #> [1] 9.752597 t$p_value #> [1] 0.002164502"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-8-1","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.8.1","title":"Examples","text":"","code":"# See ?SiegelTukey or ?twosample.siegel t <- pmt( \"twosample.siegel\", alternative = \"greater\", type = \"asymp\" ) # See ?Table2.8.1 t$test(Table2.8.1) t$statistic #> [1] 27 t$p_value #> [1] 0.5"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-8-2","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.8.2","title":"Examples","text":"","code":"# See ?RatioDifferenceDeviance or ?twosample.rmd t <- pmt( \"twosample.rmd\", alternative = \"greater\", n_permu = 0 ) # See ?Table2.8.1 t$test(Table2.8.1) t$statistic #> [1] 4.666667 t$p_value #> [1] 0.06349206"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-8-4","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.8.4","title":"Examples","text":"","code":"# See ?KolmogorovSmirnov or ?twosample.ks t <- pmt( \"twosample.ks\", n_permu = 0 ) # See ?Table2.8.1 t$test(Table2.8.1) t$statistic #> [1] 0.4 t$p_value #> [1] 0.8730159"},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-3-1-1","dir":"Articles","previous_headings":"Chapter 3","what":"Example 3.1.1","title":"Examples","text":"","code":"# See ?OneWay or ?ksample.oneway t <- pmt( \"ksample.oneway\", type = \"asymp\" ) # See ?Table3.1.2 t$test(Table3.1.2) t$statistic #> [1] 3.781445 t$p_value #> [1] 0.05327082 t$n_permu <- 0 t$type <- \"permu\" t$statistic #> [1] 11552.89 t$p_value #> [1] 0.05127412"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-3-2-1","dir":"Articles","previous_headings":"Chapter 3","what":"Example 3.2.1","title":"Examples","text":"","code":"# See ?KruskalWallis or ?ksample.kw t <- pmt( \"ksample.kw\", type = \"asymp\" ) # See ?Table3.2.2 t$test(Table3.2.2) t$statistic #> [1] 17.14286 t$p_value #> [1] 0.0006605027"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-3-2-2","dir":"Articles","previous_headings":"Chapter 3","what":"Example 3.2.2","title":"Examples","text":"","code":"# See ?KruskalWallis or ?ksample.kw t <- pmt( \"ksample.kw\", n_permu = 4000 ) # See ?Table3.2.3 t$test(Table3.2.3) t$statistic #> [1] 8.246588 t$p_value #> [1] 0.01425 t$type <- \"asymp\" t$p_value #> [1] 0.01619109"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-3-3-1","dir":"Articles","previous_headings":"Chapter 3","what":"Example 3.3.1","title":"Examples","text":"","code":"# See ?Studentized or ?multcomp.studentized t <- pmt( \"multcomp.studentized\", n_permu = 5000, method = \"bonferroni\" ) # See ?Table3.3.1 t$test(Table3.3.1) t$print() #> #> Multiple Comparison Based on Studentized Statistic #> #> scoring: none type: permu(5000) method: bonferroni #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.02737145 0.9740 #> location_1 ~ location_3 -1.77914406 0.0852 #> location_1 ~ location_4 -3.41048230 0.0036 * #> location_2 ~ location_3 -1.80651550 0.0860 #> location_2 ~ location_4 -3.43785375 0.0048 * #> location_3 ~ location_4 -1.63133824 0.1148 t$type <- \"asymp\" t$print() #> #> 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$scoring <- \"rank\" t$print() #> #> 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$method <- \"tukey\" t$print() #> #> 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$scoring <- \"none\" t$print() #> #> 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$type <- \"permu\" t$print() #> #> Multiple Comparison Based on Studentized Statistic #> #> scoring: none type: permu(5000) method: tukey #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.03870907 1.0000 #> location_1 ~ location_3 2.51608965 0.3016 #> location_1 ~ location_4 4.82315032 0.0148 * #> location_2 ~ location_3 2.55479873 0.2904 #> location_2 ~ location_4 4.86185939 0.0130 * #> location_3 ~ location_4 2.30706067 0.3736"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-3-4-1","dir":"Articles","previous_headings":"Chapter 3","what":"Example 3.4.1","title":"Examples","text":"","code":"# See ?JonckheereTerpstra or ?ksample.jt t <- pmt( \"ksample.jt\", alternative = \"greater\", n_permu = 4000 ) # See ?Table3.4.1 t$test(Table3.4.1) t$statistic #> [1] 145 t$p_value #> [1] 0.03125 t$type <- \"asymp\" t$p_value #> [1] 0.0285154"},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"table-4-1-1","dir":"Articles","previous_headings":"Chapter 4","what":"Table 4.1.1","title":"Examples","text":"","code":"# See ?PairedDifference or ?paired.difference t <- pmt( \"paired.difference\", alternative = \"greater\", scoring = \"none\", n_permu = 0 ) # See ?Table4.1.1 t$test(Table4.1.1) t$statistic #> [1] 960 t$p_value #> [1] 0.09375"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-4-1-1","dir":"Articles","previous_headings":"Chapter 4","what":"Example 4.1.1","title":"Examples","text":"","code":"# See ?PairedDifference or ?paired.difference t <- pmt( \"paired.difference\", alternative = \"two_sided\", scoring = \"none\", method = \"without_zeros\", n_permu = 0 ) # See ?Table4.1.3 t$test(Table4.1.3) t$statistic #> [1] 148 t$p_value #> [1] 0.02502441 t$n_permu <- 4000 t$p_value #> [1] 0.0215 t$type <- \"asymp\" t$p_value #> [1] 0.0267714"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-4-2-1-4-2-2","dir":"Articles","previous_headings":"Chapter 4","what":"Example 4.2.1 & 4.2.2","title":"Examples","text":"","code":"# See ?PairedDifference or ?paired.difference t <- pmt( \"paired.difference\", alternative = \"greater\", scoring = \"rank\", method = \"with_zeros\", n_permu = 0 ) # See ?Table4.1.1 t$test(Table4.1.1) t$statistic #> [1] 13 t$p_value #> [1] 0.09375 t$type <- \"asymp\" t$p_value #> [1] 0.08876493"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-4-3-1","dir":"Articles","previous_headings":"Chapter 4","what":"Example 4.3.1","title":"Examples","text":"","code":"# See ?Sign or ?paired.sign t <- pmt( \"paired.sign\", alternative = \"greater\", n_permu = 0 ) t$test( rep(c(+1, -1), c(12, 5)), rep(0, 17) ) t$statistic #> [1] 12 t$p_value #> [1] 0.07173157 t$type <- \"asymp\" t$p_value #> [1] 0.07280505"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-4-4-1","dir":"Articles","previous_headings":"Chapter 4","what":"Example 4.4.1","title":"Examples","text":"","code":"# See ?RCBDOneWay or ?rcbd.oneway t <- pmt( \"rcbd.oneway\", n_permu = 5000 ) # See ?Table4.4.3 t$test(Table4.4.3) t$statistic #> [1] 110241.8 t$p_value #> [1] 0.0546 t$type <- \"asymp\" t$statistic #> [1] 3.121093 t$p_value #> [1] 0.057516"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-4-5-2","dir":"Articles","previous_headings":"Chapter 4","what":"Example 4.5.2","title":"Examples","text":"","code":"# See ?Friedman or ?rcbd.friedman t <- pmt( \"rcbd.friedman\", n_permu = 5000 ) # See ?Table4.5.3 t$test(Table4.5.3) t$statistic #> [1] 28.33333 t$p_value #> [1] 0.0396 t$type <- \"asymp\" t$statistic #> [1] 7.5 t$p_value #> [1] 0.05755845"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-4-6-1","dir":"Articles","previous_headings":"Chapter 4","what":"Example 4.6.1","title":"Examples","text":"","code":"# See ?Page or ?rcbd.page t <- pmt( \"rcbd.page\", alternative = \"less\", n_permu = 5000 ) # See ?Table4.4.3 t$test(Table4.4.3) t$statistic #> [1] 134 t$p_value #> [1] 0.0118 t$type <- \"asymp\" t$p_value #> [1] 0.01182581"},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-5-1-1","dir":"Articles","previous_headings":"Chapter 5","what":"Example 5.1.1","title":"Examples","text":"","code":"# See ?Correlation or ?association.corr t <- pmt( \"association.corr\", method = \"pearson\", alternative = \"greater\", n_permu = 2000 ) # See ?Table5.1.2 t$test(Table5.1.2) t$statistic #> [1] 198766597 t$p_value #> [1] 0"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-5-2-1","dir":"Articles","previous_headings":"Chapter 5","what":"Example 5.2.1","title":"Examples","text":"","code":"# See ?Correlation or ?association.corr t <- pmt( \"association.corr\", method = \"spearman\", alternative = \"two_sided\", n_permu = 5000 ) # See ?Table5.1.2 t$test(Table5.1.2) t$statistic #> [1] 2059 t$p_value #> [1] 0 t$type <- \"asymp\" t$p_value #> [1] 0.0002176436"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-5-3-2","dir":"Articles","previous_headings":"Chapter 5","what":"Example 5.3.2","title":"Examples","text":"","code":"# See ?Correlation or ?association.corr t <- pmt( \"association.corr\", method = \"kendall\", alternative = \"greater\", type = \"asymp\" ) # See ?Table5.2.2 t$test(Table5.2.2) t$statistic #> [1] 0.2222222 t$p_value #> [1] 0.1697136"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"table-5-4-2","dir":"Articles","previous_headings":"Chapter 5","what":"Table 5.4.2","title":"Examples","text":"","code":"# See ?ChiSquare or ?table.chisq t <- pmt( \"table.chisq\", n_permu = 0 ) # See ?Table5.4.2 t$test(Table5.4.2) t$statistic #> [1] 4.277778 t$p_value #> [1] 0.3142857 t$type <- \"asymp\" t$p_value #> [1] 0.1177856"},{"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: Nonparametric Tests. R package version 1.2.2, https://qddyy.github.io/LearnNonparam, https://github.com/qddyy/LearnNonparam.","code":"@Manual{, title = {LearnNonparam: Nonparametric Tests}, author = {Yan Du}, year = {2024}, note = {R package version 1.2.2, 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":"Nonparametric Tests","text":"R package implements several non-parametric tests chapters 1-5 Higgins (2003). depends R6 object oriented design Rcpp integration R C++. examples book can found .","code":""},{"path":"https://qddyy.github.io/LearnNonparam/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Nonparametric Tests","text":"latest bug fixes improvements, please install development version R package using Feedback contributions welcome. Please feel free report bugs request new features opening issue.","code":"# install.packages(\"remotes\") remotes::install_github(\"qddyy/LearnNonparam\")"},{"path":"https://qddyy.github.io/LearnNonparam/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"Nonparametric 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, ties = \"ordered\") G <- approxfun(y, G_y, \"constant\", 0, 1, ties = \"ordered\") sum(c(F_x - G(x), G_y - F(y))^2) } }, # reject the null hypothesis when the test statistic is large rejection = \"r\", scoring = \"none\", n_permu = 1e4, 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$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Ansari-Bradley Test — AnsariBradley","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Ansari-Bradley Test — AnsariBradley","text":"AnsariBradley object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":null,"dir":"Reference","previous_headings":"","what":"Inference on Cumulative Distribution Function — CDF","title":"Inference on Cumulative Distribution Function — CDF","text":"Performs statistical inference population cumulative distribution function.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Inference on Cumulative Distribution Function — CDF","text":"LearnNonparam::PermuTest -> LearnNonparam::OneSampleTest -> CDF","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Inference on Cumulative Distribution Function — CDF","text":"LearnNonparam::PermuTest$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$plot(style = c(\"graphics\", \"ggplot2\"))"},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"arguments-1","dir":"Reference","previous_headings":"","what":"Arguments","title":"Inference on Cumulative Distribution Function — CDF","text":"style character string specifying package use.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"returns-1","dir":"Reference","previous_headings":"","what":"Returns","title":"Inference on Cumulative Distribution Function — CDF","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":null,"dir":"Reference","previous_headings":"","what":"Chi-Square Test on Contingency Table — ChiSquare","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"Performs chi-square test contingency tables.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"LearnNonparam::PermuTest -> LearnNonparam::ContingencyTableTest -> ChiSquare","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"LearnNonparam::PermuTest$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 zero (default) 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/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$new( type = c(\"permu\", \"asymp\"), method = c(\"pearson\", \"kendall\", \"spearman\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test for Association Between Paired Samples — Correlation","text":"type character string specifying way calculate p-value. method character string specifying correlation coefficient used. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Test for Association Between Paired Samples — Correlation","text":"Correlation object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":null,"dir":"Reference","previous_headings":"","what":"Two-Sample Test Based on Mean or Median — Difference","title":"Two-Sample Test Based on Mean or Median — Difference","text":"Performs mean/median based two-sample test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Two-Sample Test Based on Mean or Median — Difference","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> Difference","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Two-Sample Test Based on Mean or Median — Difference","text":"LearnNonparam::PermuTest$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 zero (default) 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/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$new(type = c(\"permu\", \"asymp\"), n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Friedman Test — Friedman","text":"type character string specifying way calculate p-value. n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Friedman Test — Friedman","text":"Friedman object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":null,"dir":"Reference","previous_headings":"","what":"Jonckheere-Terpstra Test — JonckheereTerpstra","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"Performs Jonckheere-Terpstra test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> JonckheereTerpstra","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"LearnNonparam::PermuTest$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 zero (default) 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/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$new(n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"KolmogorovSmirnov object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":null,"dir":"Reference","previous_headings":"","what":"Kruskal-Wallis Test — KruskalWallis","title":"Kruskal-Wallis Test — KruskalWallis","text":"Performs Kruskal-Wallis test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Kruskal-Wallis Test — KruskalWallis","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> KruskalWallis","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Kruskal-Wallis Test — KruskalWallis","text":"LearnNonparam::PermuTest$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 use. n_permu integer indicating number permutations permutation distribution. set zero (default) 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/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$new(type = c(\"permu\", \"asymp\"), n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"One-Way Test for Equal Means — OneWay","text":"type character string specifying way calculate p-value. n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"One-Way Test for Equal Means — OneWay","text":"OneWay object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":null,"dir":"Reference","previous_headings":"","what":"Page Test — Page","title":"Page Test — Page","text":"Performs Page test samples collected randomized complete block design.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Page Test — Page","text":"LearnNonparam::PermuTest -> LearnNonparam::RCBDTest -> Page","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Page Test — Page","text":"LearnNonparam::PermuTest$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 zero (default) 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/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 use. alternative character string specifying alternative hypothesis. null_value number indicating true value location shift. n_permu integer indicating number permutations permutation distribution. set zero (default) 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/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$test(...)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"PermuTest Class — PermuTest","text":"... sample(s). Can numeric vector(s) data.frame list containing .","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"PermuTest Class — PermuTest","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"method-print-","dir":"Reference","previous_headings":"","what":"Method print()","title":"PermuTest Class — PermuTest","text":"Print results test.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"usage-1","dir":"Reference","previous_headings":"","what":"Usage","title":"PermuTest Class — PermuTest","text":"","code":"PermuTest$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$plot(style = c(\"graphics\", \"ggplot2\"), ...)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"arguments-1","dir":"Reference","previous_headings":"","what":"Arguments","title":"PermuTest Class — PermuTest","text":"style character string specifying package use. ... passed graphics::hist() ggplot2::stat_bin().","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"returns-2","dir":"Reference","previous_headings":"","what":"Returns","title":"PermuTest Class — PermuTest","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":null,"dir":"Reference","previous_headings":"","what":"Quantile Test — Quantile","title":"Quantile Test — Quantile","text":"Performs quantile test single sample. addition, estimation confidence interval desired quantile calculated.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Quantile Test — Quantile","text":"LearnNonparam::PermuTest -> LearnNonparam::OneSampleTest -> Quantile","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"active-bindings","dir":"Reference","previous_headings":"","what":"Active bindings","title":"Quantile Test — Quantile","text":"prob probability associated quantile. correct Whether apply continuity correction.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Quantile Test — Quantile","text":"LearnNonparam::PermuTest$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/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 zero (default) 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/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 zero (default) 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/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$new( scoring = c(\"rank\", \"vw\", \"expon\"), alternative = c(\"two_sided\", \"less\", \"greater\"), null_value = 0, n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"scoring character string specifying scoring system use. alternative character string specifying alternative hypothesis. null_value number indicating true value location shift. n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"ScoreSum object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":null,"dir":"Reference","previous_headings":"","what":"Siegel-Tukey Test — SiegelTukey","title":"Siegel-Tukey Test — SiegelTukey","text":"Performs Siegel-Tukey test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Siegel-Tukey Test — SiegelTukey","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> LearnNonparam::Wilcoxon -> SiegelTukey","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Siegel-Tukey Test — SiegelTukey","text":"LearnNonparam::PermuTest$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 zero (default) 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/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$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000, correct = TRUE )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Sign Test — Sign","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used. correct logical indicating whether apply continuity correction normal approximation p-value.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Sign Test — Sign","text":"Sign object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":null,"dir":"Reference","previous_headings":"","what":"Multiple Comparison Based on Studentized Statistic — Studentized","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"Performs studentized statistic based multiple comparison samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> LearnNonparam::MultipleComparison -> Studentized","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"LearnNonparam::PermuTest$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 use. conf_level number zero one indicating family-wise confidence level use. n_permu integer indicating number permutations permutation distribution. set zero (default) 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/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 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.6.1.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Hours Until Recharge — Table2.6.1","text":"Table 2.6.1","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.6.2.html","id":null,"dir":"Reference","previous_headings":"","what":"Cerium Amounts — Table2.6.2","title":"Cerium Amounts — Table2.6.2","text":"amounts cerium measured samples granite basalt.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.6.2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cerium Amounts — Table2.6.2","text":"","code":"Table2.6.2"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.6.2.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cerium Amounts — Table2.6.2","text":"object class data.frame 6 rows 2 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.6.2.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Cerium Amounts — Table2.6.2","text":"Table 2.6.2","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.8.1.html","id":null,"dir":"Reference","previous_headings":"","what":"Ounces Of Beverage — Table2.8.1","title":"Ounces Of Beverage — Table2.8.1","text":"amounts liquid randomly selected beverage containers filling process repaired.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.8.1.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Ounces Of Beverage — Table2.8.1","text":"","code":"Table2.8.1"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.8.1.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Ounces Of Beverage — Table2.8.1","text":"object class data.frame 5 rows 2 columns.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table2.8.1.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Ounces Of Beverage — Table2.8.1","text":"Table 2.8.1","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.1.2.html","id":null,"dir":"Reference","previous_headings":"","what":"Normal Samples — Table3.1.2","title":"Normal Samples — Table3.1.2","text":"Observations randomly sampled normal populations means 15, 25 30, respectively, standard deviation 9.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.1.2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Normal Samples — Table3.1.2","text":"","code":"Table3.1.2"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.1.2.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Normal Samples — Table3.1.2","text":"object class data.frame 5 rows 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 — Table3.2.2","text":"object class list length 4.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.2.2.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Logarithms of Bacteria Counts — Table3.2.2","text":"Table 3.2.2","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.2.3.html","id":null,"dir":"Reference","previous_headings":"","what":"Saltiness Scores — Table3.2.3","title":"Saltiness Scores — Table3.2.3","text":"Saltiness scores, scale 1 5, assigned taste expert samples 3 food products differ amounts soymeal contain.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.2.3.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Saltiness Scores — Table3.2.3","text":"","code":"Table3.2.3"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.2.3.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Saltiness Scores — Table3.2.3","text":"object class list length 3.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.2.3.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Saltiness Scores — Table3.2.3","text":"Table 3.2.3","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.3.1.html","id":null,"dir":"Reference","previous_headings":"","what":"Percentages of Clay — Table3.3.1","title":"Percentages of Clay — Table3.3.1","text":"percentages clay 6 samples soil selected 4 locations.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Table3.3.1.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Percentages of Clay — 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 zero (default) 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/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( statistic, inherit = c(\"twosample\", \"ksample\", \"paired\", \"rcbd\", \"association\", \"table\"), rejection = c(\"lr\", \"l\", \"r\"), scoring = c(\"none\", \"rank\", \"vw\", \"expon\"), 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 corresponding desired test. Check pmts() valid keys. ... extra parameters passed constructor. character string specifying desired tests. statistic definition test statistic. See Details. inherit character string specifying desired permutation test. rejection character string specifying rejection region . scoring, n_permu passed constructor. name character string specifying name test. alternative character string specifying alternative test. depends, plugins, includes passed Rcpp::cppFunction().","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 define_pmt can defined using either R Rcpp, statistic parameter specified : R: function returning closure returns double. Rcpp: character string defining captureless lambda (introduced C++11) returning another lambda may capture value, accepts const arguments type, returns double. using Rcpp, parameters different inherit listed follows. Note parameter names illustrative may modified. \"twosample\": (Rcpp::NumericVector sample_1, Rcpp::NumericVector sample_2) \"ksample\": (Rcpp::NumericVector combined_sample, Rcpp::IntegerVector one_based_group_index) \"paired\": (Rcpp::NumericVector sample_1, Rcpp::NumericVector sample_2) \"rcbd\": (Rcpp::NumericMatrix block_as_column_data) \"association\": (Rcpp::NumericVector sample_1, Rcpp::NumericVector sample_2) \"table\": (Rcpp::IntegerMatrix contingency_table) Defining test statistic using R follows similar approach. purpose design pre-calculate certain constants remain invariant permutation.","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":""}]
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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":[]},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-1-1-2","dir":"Articles","previous_headings":"Chapter 1","what":"Example 1.1.2","title":"Examples","text":"","code":"# See ?Quantile or ?onesample.quantile t <- pmt( \"onesample.quantile\", alternative = \"greater\", prob = 0.5, null_value = 75, type = \"asymp\", correct = FALSE ) # See ?Table1.1.1 t$test(Table1.1.1) t$statistic #> [1] 26 t$p_value #> [1] 0.02888979 t$conf_int #> [1] 75.0 77.1"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-1-2-1","dir":"Articles","previous_headings":"Chapter 1","what":"Example 1.2.1","title":"Examples","text":"","code":"# See ?CDF or ?onesample.cdf t <- pmt(\"onesample.cdf\") # See ?Table1.2.1 t$test(Table1.2.1) t$plot(style = \"ggplot2\")"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-1-2-4","dir":"Articles","previous_headings":"Chapter 1","what":"Example 1.2.4","title":"Examples","text":"","code":"# See ?Quantile or ?onesample.quantile t <- pmt( \"onesample.quantile\", prob = 0.25, null_value = 0, conf_level = 0.90 ) # See ?Table1.2.1 t$test(Table1.2.1) t$conf_int #> [1] 11 29"},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"table-2-1-1","dir":"Articles","previous_headings":"Chapter 2","what":"Table 2.1.1","title":"Examples","text":"","code":"# See ?Difference or ?twosample.difference t <- pmt( \"twosample.difference\", alternative = \"greater\", method = \"mean\", n_permu = 0 ) # See ?Table2.1.1 t$test(Table2.1.1) t$statistic #> [1] 16.16667 t$p_value #> [1] 0.05714286"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"table-2-1-1---wilcoxon","dir":"Articles","previous_headings":"Chapter 2","what":"Table 2.1.1 - wilcoxon","title":"Examples","text":"","code":"# See ?Wilcoxon or ?twosample.wilcoxon t <- pmt( \"twosample.wilcoxon\", alternative = \"greater\", n_permu = 0 ) # See ?Table2.1.1 t$test(Table2.1.1) t$statistic #> [1] 21 t$p_value #> [1] 0.05714286"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-3-1","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.3.1","title":"Examples","text":"","code":"# See ?Difference or ?twosample.difference t <- pmt( \"twosample.difference\", alternative = \"greater\", method = \"mean\", n_permu = 0 ) # See ?Table2.3.1 t$test(Table2.3.1) t$statistic #> [1] 1.675 # all permutaions t$p_value #> [1] 0.1966589 # 1000 permutaions t$n_permu <- 1000 t$p_value #> [1] 0.188"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-6-1","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.6.1","title":"Examples","text":"","code":"# See ?Wilcoxon or ?twosample.wilcoxon t <- pmt( \"twosample.wilcoxon\", alternative = \"greater\", n_permu = 0 ) # See ?Table2.6.1 t$test(Table2.6.1) t$statistic #> [1] 14 t$p_value #> [1] 0.9"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-6-2","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.6.2","title":"Examples","text":"","code":"# See ?Wilcoxon or ?twosample.wilcoxon t <- pmt( \"twosample.wilcoxon\", conf_level = 0.90 ) # See ?Table2.6.2 t$test(Table2.6.2) t$estimate #> [1] 30.045 t$conf_int #> [1] 13.84 47.96"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-7-1","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.7.1","title":"Examples","text":"","code":"# See ?ScoreSum or ?twosample.scoresum t <- pmt( \"twosample.scoresum\", alternative = \"greater\", scoring = \"expon\", n_permu = 0 ) # See ?Table2.6.2 t$test(Table2.6.2) t$statistic #> [1] 9.752597 t$p_value #> [1] 0.002164502"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-8-1","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.8.1","title":"Examples","text":"","code":"# See ?SiegelTukey or ?twosample.siegel t <- pmt( \"twosample.siegel\", alternative = \"greater\", type = \"asymp\" ) # See ?Table2.8.1 t$test(Table2.8.1) t$statistic #> [1] 27 t$p_value #> [1] 0.5"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-8-2","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.8.2","title":"Examples","text":"","code":"# See ?RatioDifferenceDeviance or ?twosample.rmd t <- pmt( \"twosample.rmd\", alternative = \"greater\", n_permu = 0 ) # See ?Table2.8.1 t$test(Table2.8.1) t$statistic #> [1] 4.666667 t$p_value #> [1] 0.0515873"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-2-8-4","dir":"Articles","previous_headings":"Chapter 2","what":"Example 2.8.4","title":"Examples","text":"","code":"# See ?KolmogorovSmirnov or ?twosample.ks t <- pmt( \"twosample.ks\", n_permu = 0 ) # See ?Table2.8.1 t$test(Table2.8.1) t$statistic #> [1] 0.4 t$p_value #> [1] NA"},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-3-1-1","dir":"Articles","previous_headings":"Chapter 3","what":"Example 3.1.1","title":"Examples","text":"","code":"# See ?OneWay or ?ksample.oneway t <- pmt( \"ksample.oneway\", type = \"asymp\" ) # See ?Table3.1.2 t$test(Table3.1.2) t$statistic #> [1] 3.781445 t$p_value #> [1] 0.05327082 t$n_permu <- 0 t$type <- \"permu\" t$statistic #> [1] 11552.89 t$p_value #> [1] 0.05127412"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-3-2-1","dir":"Articles","previous_headings":"Chapter 3","what":"Example 3.2.1","title":"Examples","text":"","code":"# See ?KruskalWallis or ?ksample.kw t <- pmt( \"ksample.kw\", type = \"asymp\" ) # See ?Table3.2.2 t$test(Table3.2.2) t$statistic #> [1] 17.14286 t$p_value #> [1] 0.0006605027"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-3-2-2","dir":"Articles","previous_headings":"Chapter 3","what":"Example 3.2.2","title":"Examples","text":"","code":"# See ?KruskalWallis or ?ksample.kw t <- pmt( \"ksample.kw\", n_permu = 4000 ) # See ?Table3.2.3 t$test(Table3.2.3) t$statistic #> [1] 8.246588 t$p_value #> [1] 0.01425 t$type <- \"asymp\" t$p_value #> [1] 0.01619109"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-3-3-1","dir":"Articles","previous_headings":"Chapter 3","what":"Example 3.3.1","title":"Examples","text":"","code":"# See ?Studentized or ?multcomp.studentized t <- pmt( \"multcomp.studentized\", n_permu = 5000, method = \"bonferroni\" ) # See ?Table3.3.1 t$test(Table3.3.1) t$print() #> #> Multiple Comparison Based on Studentized Statistic #> #> scoring: none type: permu(5000) method: bonferroni #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.02737145 0.9740 #> location_1 ~ location_3 -1.77914406 0.0852 #> location_1 ~ location_4 -3.41048230 0.0036 * #> location_2 ~ location_3 -1.80651550 0.0860 #> location_2 ~ location_4 -3.43785375 0.0048 * #> location_3 ~ location_4 -1.63133824 0.1148 t$type <- \"asymp\" t$print() #> #> 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$scoring <- \"rank\" t$print() #> #> 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$method <- \"tukey\" t$print() #> #> 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$scoring <- \"none\" t$print() #> #> 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$type <- \"permu\" t$print() #> #> Multiple Comparison Based on Studentized Statistic #> #> scoring: none type: permu(5000) method: tukey #> #> family-wise confidence level: 95% #> #> statistic p-value #> location_1 ~ location_2 0.03870907 1.0000 #> location_1 ~ location_3 2.51608965 0.3016 #> location_1 ~ location_4 4.82315032 0.0148 * #> location_2 ~ location_3 2.55479873 0.2904 #> location_2 ~ location_4 4.86185939 0.0130 * #> location_3 ~ location_4 2.30706067 0.3736"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-3-4-1","dir":"Articles","previous_headings":"Chapter 3","what":"Example 3.4.1","title":"Examples","text":"","code":"# See ?JonckheereTerpstra or ?ksample.jt t <- pmt( \"ksample.jt\", alternative = \"greater\", n_permu = 4000 ) # See ?Table3.4.1 t$test(Table3.4.1) t$statistic #> [1] 145 t$p_value #> [1] 0.03125 t$type <- \"asymp\" t$p_value #> [1] 0.0285154"},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"table-4-1-1","dir":"Articles","previous_headings":"Chapter 4","what":"Table 4.1.1","title":"Examples","text":"","code":"# See ?PairedDifference or ?paired.difference t <- pmt( \"paired.difference\", alternative = \"greater\", scoring = \"none\", n_permu = 0 ) # See ?Table4.1.1 t$test(Table4.1.1) t$statistic #> [1] 960 t$p_value #> [1] 0.09375"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-4-1-1","dir":"Articles","previous_headings":"Chapter 4","what":"Example 4.1.1","title":"Examples","text":"","code":"# See ?PairedDifference or ?paired.difference t <- pmt( \"paired.difference\", alternative = \"two_sided\", scoring = \"none\", method = \"without_zeros\", n_permu = 0 ) # See ?Table4.1.3 t$test(Table4.1.3) t$statistic #> [1] 148 t$p_value #> [1] 0.02502441 t$n_permu <- 4000 t$p_value #> [1] 0.0215 t$type <- \"asymp\" t$p_value #> [1] 0.0267714"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-4-2-1-4-2-2","dir":"Articles","previous_headings":"Chapter 4","what":"Example 4.2.1 & 4.2.2","title":"Examples","text":"","code":"# See ?PairedDifference or ?paired.difference t <- pmt( \"paired.difference\", alternative = \"greater\", scoring = \"rank\", method = \"with_zeros\", n_permu = 0 ) # See ?Table4.1.1 t$test(Table4.1.1) t$statistic #> [1] 13 t$p_value #> [1] 0.09375 t$type <- \"asymp\" t$p_value #> [1] 0.08876493"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-4-3-1","dir":"Articles","previous_headings":"Chapter 4","what":"Example 4.3.1","title":"Examples","text":"","code":"# See ?Sign or ?paired.sign t <- pmt( \"paired.sign\", alternative = \"greater\", n_permu = 0 ) t$test( rep(c(+1, -1), c(12, 5)), rep(0, 17) ) t$statistic #> [1] 12 t$p_value #> [1] 0.07173157 t$type <- \"asymp\" t$p_value #> [1] 0.07280505"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-4-4-1","dir":"Articles","previous_headings":"Chapter 4","what":"Example 4.4.1","title":"Examples","text":"","code":"# See ?RCBDOneWay or ?rcbd.oneway t <- pmt( \"rcbd.oneway\", n_permu = 5000 ) # See ?Table4.4.3 t$test(Table4.4.3) t$statistic #> [1] 110241.8 t$p_value #> [1] 0.0546 t$type <- \"asymp\" t$statistic #> [1] 3.121093 t$p_value #> [1] 0.057516"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-4-5-2","dir":"Articles","previous_headings":"Chapter 4","what":"Example 4.5.2","title":"Examples","text":"","code":"# See ?Friedman or ?rcbd.friedman t <- pmt( \"rcbd.friedman\", n_permu = 5000 ) # See ?Table4.5.3 t$test(Table4.5.3) t$statistic #> [1] 28.33333 t$p_value #> [1] 0.0396 t$type <- \"asymp\" t$statistic #> [1] 7.5 t$p_value #> [1] 0.05755845"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-4-6-1","dir":"Articles","previous_headings":"Chapter 4","what":"Example 4.6.1","title":"Examples","text":"","code":"# See ?Page or ?rcbd.page t <- pmt( \"rcbd.page\", alternative = \"less\", n_permu = 5000 ) # See ?Table4.4.3 t$test(Table4.4.3) t$statistic #> [1] 134 t$p_value #> [1] 0.0118 t$type <- \"asymp\" t$p_value #> [1] 0.01182581"},{"path":[]},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-5-1-1","dir":"Articles","previous_headings":"Chapter 5","what":"Example 5.1.1","title":"Examples","text":"","code":"# See ?Correlation or ?association.corr t <- pmt( \"association.corr\", method = \"pearson\", alternative = \"greater\", n_permu = 2000 ) # See ?Table5.1.2 t$test(Table5.1.2) t$statistic #> [1] 198766597 t$p_value #> [1] 0"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-5-2-1","dir":"Articles","previous_headings":"Chapter 5","what":"Example 5.2.1","title":"Examples","text":"","code":"# See ?Correlation or ?association.corr t <- pmt( \"association.corr\", method = \"spearman\", alternative = \"two_sided\", n_permu = 5000 ) # See ?Table5.1.2 t$test(Table5.1.2) t$statistic #> [1] 2059 t$p_value #> [1] 0 t$type <- \"asymp\" t$p_value #> [1] 0.0002176436"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"example-5-3-2","dir":"Articles","previous_headings":"Chapter 5","what":"Example 5.3.2","title":"Examples","text":"","code":"# See ?Correlation or ?association.corr t <- pmt( \"association.corr\", method = \"kendall\", alternative = \"greater\", type = \"asymp\" ) # See ?Table5.2.2 t$test(Table5.2.2) t$statistic #> [1] 0.2222222 t$p_value #> [1] 0.1697136"},{"path":"https://qddyy.github.io/LearnNonparam/articles/examples.html","id":"table-5-4-2","dir":"Articles","previous_headings":"Chapter 5","what":"Table 5.4.2","title":"Examples","text":"","code":"# See ?ChiSquare or ?table.chisq t <- pmt( \"table.chisq\", n_permu = 0 ) # See ?Table5.4.2 t$test(Table5.4.2) t$statistic #> [1] 4.277778 t$p_value #> [1] 0.3142857 t$type <- \"asymp\" t$p_value #> [1] 0.1177856"},{"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: Nonparametric Tests. R package version 1.2.2, https://qddyy.github.io/LearnNonparam, https://github.com/qddyy/LearnNonparam.","code":"@Manual{, title = {LearnNonparam: Nonparametric Tests}, author = {Yan Du}, year = {2024}, note = {R package version 1.2.2, 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":"Nonparametric Tests","text":"R package implements several non-parametric tests chapters 1-5 Higgins (2003). depends R6 object oriented design Rcpp integration R C++. examples book can found .","code":""},{"path":"https://qddyy.github.io/LearnNonparam/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Nonparametric Tests","text":"latest bug fixes improvements, please install development version R package using Feedback contributions welcome. Please feel free report bugs request new features opening issue.","code":"# install.packages(\"remotes\") remotes::install_github(\"qddyy/LearnNonparam\")"},{"path":"https://qddyy.github.io/LearnNonparam/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"Nonparametric 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, ties = \"ordered\") G <- approxfun(y, G_y, \"constant\", 0, 1, ties = \"ordered\") sum(c(F_x - G(x), G_y - F(y))^2) } }, # reject the null hypothesis when the test statistic is large rejection = \"r\", scoring = \"none\", n_permu = 1e4, 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$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Ansari-Bradley Test — AnsariBradley","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/AnsariBradley.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Ansari-Bradley Test — AnsariBradley","text":"AnsariBradley object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":null,"dir":"Reference","previous_headings":"","what":"Inference on Cumulative Distribution Function — CDF","title":"Inference on Cumulative Distribution Function — CDF","text":"Performs statistical inference population cumulative distribution function.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Inference on Cumulative Distribution Function — CDF","text":"LearnNonparam::PermuTest -> LearnNonparam::OneSampleTest -> CDF","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Inference on Cumulative Distribution Function — CDF","text":"LearnNonparam::PermuTest$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$plot(style = c(\"graphics\", \"ggplot2\"))"},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"arguments-1","dir":"Reference","previous_headings":"","what":"Arguments","title":"Inference on Cumulative Distribution Function — CDF","text":"style character string specifying package use.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/CDF.html","id":"returns-1","dir":"Reference","previous_headings":"","what":"Returns","title":"Inference on Cumulative Distribution Function — CDF","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":null,"dir":"Reference","previous_headings":"","what":"Chi-Square Test on Contingency Table — ChiSquare","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"Performs chi-square test contingency tables.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"LearnNonparam::PermuTest -> LearnNonparam::ContingencyTableTest -> ChiSquare","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ChiSquare.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Chi-Square Test on Contingency Table — ChiSquare","text":"LearnNonparam::PermuTest$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 zero (default) 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/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$new( type = c(\"permu\", \"asymp\"), method = c(\"pearson\", \"kendall\", \"spearman\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test for Association Between Paired Samples — Correlation","text":"type character string specifying way calculate p-value. method character string specifying correlation coefficient used. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Correlation.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Test for Association Between Paired Samples — Correlation","text":"Correlation object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":null,"dir":"Reference","previous_headings":"","what":"Two-Sample Test Based on Mean or Median — Difference","title":"Two-Sample Test Based on Mean or Median — Difference","text":"Performs mean/median based two-sample test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Two-Sample Test Based on Mean or Median — Difference","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> Difference","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Difference.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Two-Sample Test Based on Mean or Median — Difference","text":"LearnNonparam::PermuTest$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 zero (default) 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/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$new(type = c(\"permu\", \"asymp\"), n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Friedman Test — Friedman","text":"type character string specifying way calculate p-value. n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Friedman.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Friedman Test — Friedman","text":"Friedman object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":null,"dir":"Reference","previous_headings":"","what":"Jonckheere-Terpstra Test — JonckheereTerpstra","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"Performs Jonckheere-Terpstra test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> JonckheereTerpstra","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/JonckheereTerpstra.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Jonckheere-Terpstra Test — JonckheereTerpstra","text":"LearnNonparam::PermuTest$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 zero (default) 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/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$new(n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KolmogorovSmirnov.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Kolmogorov-Smirnov Test — KolmogorovSmirnov","text":"KolmogorovSmirnov object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":null,"dir":"Reference","previous_headings":"","what":"Kruskal-Wallis Test — KruskalWallis","title":"Kruskal-Wallis Test — KruskalWallis","text":"Performs Kruskal-Wallis test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Kruskal-Wallis Test — KruskalWallis","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> KruskalWallis","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/KruskalWallis.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Kruskal-Wallis Test — KruskalWallis","text":"LearnNonparam::PermuTest$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 use. n_permu integer indicating number permutations permutation distribution. set zero (default) 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/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$new(type = c(\"permu\", \"asymp\"), n_permu = 10000)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"One-Way Test for Equal Means — OneWay","text":"type character string specifying way calculate p-value. n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/OneWay.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"One-Way Test for Equal Means — OneWay","text":"OneWay object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":null,"dir":"Reference","previous_headings":"","what":"Page Test — Page","title":"Page Test — Page","text":"Performs Page test samples collected randomized complete block design.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Page Test — Page","text":"LearnNonparam::PermuTest -> LearnNonparam::RCBDTest -> Page","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Page.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Page Test — Page","text":"LearnNonparam::PermuTest$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 zero (default) 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/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 use. alternative character string specifying alternative hypothesis. null_value number indicating true value location shift. n_permu integer indicating number permutations permutation distribution. set zero (default) 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/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$test(...)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"PermuTest Class — PermuTest","text":"... sample(s). Can numeric vector(s) data.frame list containing .","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"PermuTest Class — PermuTest","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"method-print-","dir":"Reference","previous_headings":"","what":"Method print()","title":"PermuTest Class — PermuTest","text":"Print results test.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"usage-1","dir":"Reference","previous_headings":"","what":"Usage","title":"PermuTest Class — PermuTest","text":"","code":"PermuTest$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$plot(style = c(\"graphics\", \"ggplot2\"), ...)"},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"arguments-1","dir":"Reference","previous_headings":"","what":"Arguments","title":"PermuTest Class — PermuTest","text":"style character string specifying package use. ... passed graphics::hist() ggplot2::stat_bin().","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/PermuTest.html","id":"returns-2","dir":"Reference","previous_headings":"","what":"Returns","title":"PermuTest Class — PermuTest","text":"object (invisibly).","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":null,"dir":"Reference","previous_headings":"","what":"Quantile Test — Quantile","title":"Quantile Test — Quantile","text":"Performs quantile test single sample. addition, estimation confidence interval desired quantile calculated.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Quantile Test — Quantile","text":"LearnNonparam::PermuTest -> LearnNonparam::OneSampleTest -> Quantile","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"active-bindings","dir":"Reference","previous_headings":"","what":"Active bindings","title":"Quantile Test — Quantile","text":"prob probability associated quantile. correct Whether apply continuity correction.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Quantile.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Quantile Test — Quantile","text":"LearnNonparam::PermuTest$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/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 zero (default) 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/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 zero (default) 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/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$new( scoring = c(\"rank\", \"vw\", \"expon\"), alternative = c(\"two_sided\", \"less\", \"greater\"), null_value = 0, n_permu = 10000 )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"scoring character string specifying scoring system use. alternative character string specifying alternative hypothesis. null_value number indicating true value location shift. n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/ScoreSum.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Test Based on Sum of Scores — ScoreSum","text":"ScoreSum object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":null,"dir":"Reference","previous_headings":"","what":"Siegel-Tukey Test — SiegelTukey","title":"Siegel-Tukey Test — SiegelTukey","text":"Performs Siegel-Tukey test samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Siegel-Tukey Test — SiegelTukey","text":"LearnNonparam::PermuTest -> LearnNonparam::TwoSampleTest -> LearnNonparam::TwoSampleLocationTest -> LearnNonparam::Wilcoxon -> SiegelTukey","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/SiegelTukey.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Siegel-Tukey Test — SiegelTukey","text":"LearnNonparam::PermuTest$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 zero (default) 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/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$new( type = c(\"permu\", \"asymp\"), alternative = c(\"two_sided\", \"less\", \"greater\"), n_permu = 10000, correct = TRUE )"},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Two-Sample Sign Test — Sign","text":"type character string specifying way calculate p-value. alternative character string specifying alternative hypothesis. n_permu integer indicating number permutations permutation distribution. set zero (default) permutations used. correct logical indicating whether apply continuity correction normal approximation p-value.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Sign.html","id":"returns","dir":"Reference","previous_headings":"","what":"Returns","title":"Two-Sample Sign Test — Sign","text":"Sign object.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":null,"dir":"Reference","previous_headings":"","what":"Multiple Comparison Based on Studentized Statistic — Studentized","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"Performs studentized statistic based multiple comparison samples.","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"super-classes","dir":"Reference","previous_headings":"","what":"Super classes","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"LearnNonparam::PermuTest -> LearnNonparam::KSampleTest -> LearnNonparam::MultipleComparison -> Studentized","code":""},{"path":"https://qddyy.github.io/LearnNonparam/reference/Studentized.html","id":"methods","dir":"Reference","previous_headings":"","what":"Methods","title":"Multiple Comparison Based on Studentized Statistic — Studentized","text":"LearnNonparam::PermuTest$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 use. conf_level number zero one indicating family-wise confidence level use. n_permu integer indicating number permutations permutation distribution. set zero (default) 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/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 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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 — 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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 -> 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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 zero (default) 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/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( statistic, inherit = c(\"twosample\", \"ksample\", \"paired\", \"rcbd\", \"association\", \"table\"), rejection = c(\"lr\", \"l\", \"r\"), scoring = c(\"none\", \"rank\", \"vw\", \"expon\"), 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 corresponding desired test. Check pmts() valid keys. ... extra parameters passed constructor. character string specifying desired tests. statistic definition test statistic. See Details. inherit character string specifying desired permutation test. rejection character string specifying rejection region . scoring, n_permu passed constructor. name character string specifying name test. alternative character string specifying alternative test. depends, plugins, includes passed Rcpp::cppFunction().","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 define_pmt can defined using either R Rcpp, statistic parameter specified : R: function returning closure returns double. Rcpp: character string defining captureless lambda (introduced C++11) returning another lambda may capture value, accepts const arguments type, returns double. using Rcpp, parameters different inherit listed follows. Note parameter names illustrative may modified. \"twosample\": (Rcpp::NumericVector sample_1, Rcpp::NumericVector sample_2) \"ksample\": (Rcpp::NumericVector combined_sample, Rcpp::IntegerVector one_based_group_index) \"paired\": (Rcpp::NumericVector sample_1, Rcpp::NumericVector sample_2) \"rcbd\": (Rcpp::NumericMatrix block_as_column_data) \"association\": (Rcpp::NumericVector sample_1, Rcpp::NumericVector sample_2) \"table\": (Rcpp::IntegerMatrix contingency_table) Defining test statistic using R follows similar approach. purpose design pre-calculate certain constants remain invariant permutation.","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":""}]