diff --git a/cran-comments.md b/cran-comments.md index 1c1c944..05f509a 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -1,48 +1,36 @@ ## Test environments -### Linux - - * using R version 3.5.1 (2018-07-02) - * using platform: x86_64-pc-linux-gnu (64-bit) - * using session charset: UTF-8 - * using option ‘--as-cran’ - * checking for file ‘WVPlots/DESCRIPTION’ ... OK - * checking extension type ... Package - * this is package ‘WVPlots’ version ‘1.0.7’ - * checking CRAN incoming feasibility ... Note_to_CRAN_maintainers - Maintainer: ‘John Mount ’ - * checking package namespace information ... OK - Status: OK - ### OSX - R CMD check --as-cran WVPlots_1.0.7.tar.gz + R CMD check --as-cran WVPlots_1.0.8.tar.gz * using R version 3.5.0 (2018-04-23) * using platform: x86_64-apple-darwin15.6.0 (64-bit) * using session charset: UTF-8 * using option ‘--as-cran’ * checking for file ‘WVPlots/DESCRIPTION’ ... OK * checking extension type ... Package - * this is package ‘WVPlots’ version ‘1.0.7’ + * this is package ‘WVPlots’ version ‘1.0.8’ * checking CRAN incoming feasibility ... Note_to_CRAN_maintainers Maintainer: ‘John Mount ’ Status: OK ### Windows - devtools::build_win() - * using R Under development (unstable) (2018-12-17 r75857) - * using platform: x86_64-w64-mingw32 (64-bit) - * using session charset: ISO8859-1 - * checking for file 'WVPlots/DESCRIPTION' ... OK - * checking extension type ... Package - * this is package 'WVPlots' version '1.0.7' - * checking CRAN incoming feasibility ... Note_to_CRAN_maintainers - Maintainer: 'John Mount ' - Status: OK - + rhub::check_for_cran() + 643#> * using R Under development (unstable) (2018-12-26 r75909) + 644#> * using platform: x86_64-w64-mingw32 (64-bit) + 645#> * using session charset: ISO8859-1 + 646#> * using option '--as-cran' + 647#> * checking for file 'WVPlots/DESCRIPTION' ... OK + 648#> * checking extension type ... Package + 649#> * this is package 'WVPlots' version '1.0.8' + 650#> * checking CRAN incoming feasibility ... Note_to_CRAN_maintainers + 651#> * checking package namespace information ... OK + 652#> Maintainer: 'John Mount ' + 705#> Status: OK + ## Downstream dependencies @@ -51,5 +39,4 @@ devtools::revdep('WVPlots') character(0) - Zumel is not a mis-spelling. diff --git a/docs/articles/WVPlots_concept.html b/docs/articles/WVPlots_concept.html index fbe0efe..af44d3e 100644 --- a/docs/articles/WVPlots_concept.html +++ b/docs/articles/WVPlots_concept.html @@ -91,7 +91,7 @@

2019-01-26

-

Nina Zumel and I have been working on packaging our favorite graphing techniques in a more reusable way that emphasizes the analysis task at hand over the steps needed to produce a good visualization. The idea is: we sacrifice some of the flexibility and composability inherent to ggplot2 in R for a menu of prescribed presentation solutions.

+

Nina Zumel and I have been working on packaging our favorite graphing techniques in a more reusable way that emphasizes the analysis task at hand over the steps needed to produce a good visualization. The idea is: we sacrifice some of the flexibility and composability inherent to ggplot2 in R for a menu of prescribed presentation solutions.

For example the plot below showing both an observed discrete empirical distribution (as stems) and a matching theoretical distribution (as bars) is a built in “one liner.”

set.seed(52523)
 d <- data.frame(wt=100*rnorm(100))
diff --git a/vignettes/WVPlots_concept.Rmd b/vignettes/WVPlots_concept.Rmd
index 7228c4d..9dbd5e2 100644
--- a/vignettes/WVPlots_concept.Rmd
+++ b/vignettes/WVPlots_concept.Rmd
@@ -13,7 +13,7 @@ vignette: >
 knitr::opts_chunk$set(fig.width=6, fig.height=6)
 ```
 
-Nina Zumel and I have been working on packaging our favorite graphing techniques in a more reusable way that emphasizes the analysis task at hand over the steps needed to produce a good visualization.  The idea is: we sacrifice some of the flexibility and composability inherent to ggplot2 in R for a menu of prescribed presentation solutions.
+Nina Zumel and I have been working on packaging our favorite graphing techniques in a more reusable way that emphasizes the analysis task at hand over the steps needed to produce a good visualization.  The idea is: we sacrifice some of the flexibility and composability inherent to ggplot2 in R for a menu of prescribed presentation solutions.
 
 For example the plot below showing both an observed discrete empirical distribution (as stems) and a matching theoretical distribution (as bars) is a built in "one liner."