change to _PACKAGE, update descriptive text

R/janitor.R

@@ -3,28 +3,23 @@
 #' janitor has simple little tools for examining and cleaning dirty data.
 #'
 #' @section Main functions:
-#' The main janitor functions can: perfectly format ugly `data.frame` column names; isolate
-#' duplicate records for further study; and provide quick one- and two-variable tabulations
-#' (i.e., frequency tables and crosstabs) that improve on the base R function `table()`.
-#'
-#'
-#' Other functions in the package can format for reporting the results of these tabulations.
-#' These tabulate-and-report functions approximate popular features of SPSS and Microsoft Excel.
+#' The main janitor functions can: perfectly format data.frame
+#' column names; provide quick counts of variable combinations (i.e.,
+#' frequency tables and crosstabs); and explore duplicate records. Other
+#' janitor functions nicely format the tabulation results. These
+#' tabulate-and-report functions approximate popular features of SPSS and
+#' Microsoft Excel.
 #'
 #' @section Package context:
-#' This package follows the principles of the "tidyverse" and in particular works well with
-#' the `\%>\%` pipe function.
-#'
+#' This package follows the principles of the "tidyverse" and works
+#' well with the pipe function `\%>\%`.
 #'
 #' janitor was built with beginning-to-intermediate R users in mind
-#' and is optimized for user-friendliness.  Advanced users can already do everything
-#' covered here, but they can do it faster with janitor and save their thinking for
-#' more fun tasks.
+#' and is optimized for user-friendliness.  Advanced users can do most
+#' things covered here, but they can do it faster with janitor and save
+#' their thinking for more fun tasks.
 #'
-#' @docType package
-#' @name janitor
-#' @keywords internal
-NULL
+"_PACKAGE"
 ## quiets concerns of R CMD check re: the .'s that appear in pipelines
 ## and the "n" that is produced by dplyr::count() in a pipeline
 if (getRversion() >= "2.15.1") utils::globalVariables(c(".", "n"))