From 312f97bc12a2beeb70c55230adbfd6d615883932 Mon Sep 17 00:00:00 2001 From: Indrajeet Patil Date: Mon, 12 Apr 2021 12:42:12 +0200 Subject: [PATCH] cran submission --- CRAN-RELEASE | 4 +- R/attach.R | 3 +- README.md | 19 ++++--- docs/articles/web_only/faq.html | 44 ++++++++-------- .../faq_files/figure-html/ggbar_colors-1.png | Bin 163094 -> 195943 bytes tests/testthat/test-ggbarstats.R | 27 ---------- vignettes/web_only/faq.Rmd | 49 ++++++++++-------- 7 files changed, 61 insertions(+), 85 deletions(-) diff --git a/CRAN-RELEASE b/CRAN-RELEASE index 37e5f3e5f..392a875e7 100644 --- a/CRAN-RELEASE +++ b/CRAN-RELEASE @@ -1,2 +1,2 @@ -This package was submitted to CRAN on 2021-03-11. -Once it is accepted, delete this file and tag the release (commit 976bc8f2). +This package was submitted to CRAN on 2021-04-12. +Once it is accepted, delete this file and tag the release (commit 5015f4a2). diff --git a/R/attach.R b/R/attach.R index edc32206c..34c17d431 100644 --- a/R/attach.R +++ b/R/attach.R @@ -1,6 +1,7 @@ .onAttach <- function(...) { packageStartupMessage( "You can cite this package as: - Patil, I. (2021). Visualizations with statistical details: The {'ggstatsplot'} approach. PsyArxiv. doi:10.31234/osf.io/p7mku" + Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach. + PsyArxiv. doi:10.31234/osf.io/p7mku" ) } diff --git a/README.md b/README.md index f69c9f7f5..16075ab26 100644 --- a/README.md +++ b/README.md @@ -7,9 +7,9 @@ |-----------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------| | [![CRAN\_Release\_Badge](https://www.r-pkg.org/badges/version-ago/ggstatsplot)](https://CRAN.R-project.org/package=ggstatsplot) | [![Travis Build 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coverage](https://codecov.io/gh/IndrajeetPatil/ggstatsplot/branch/master/graph/badge.svg)](https://codecov.io/gh/IndrajeetPatil/ggstatsplot?branch=master) | [![HitCount](https://hits.dwyl.com/IndrajeetPatil/ggstatsplot.svg)](https://hits.dwyl.com/IndrajeetPatil/ggstatsplot) | [![Last-changedate](https://img.shields.io/badge/last%20change-2021--04--06-yellowgreen.svg)](https://github.com/IndrajeetPatil/ggstatsplot/commits/master) | [![GitHub last commit](https://img.shields.io/github/last-commit/IndrajeetPatil/ggstatsplot.svg)](https://github.com/IndrajeetPatil/ggstatsplot/commits/master) | +| [![Licence](https://img.shields.io/badge/licence-GPL--3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0.en.html) | [![Codecov test coverage](https://codecov.io/gh/IndrajeetPatil/ggstatsplot/branch/master/graph/badge.svg)](https://codecov.io/gh/IndrajeetPatil/ggstatsplot?branch=master) | [![HitCount](https://hits.dwyl.com/IndrajeetPatil/ggstatsplot.svg)](https://hits.dwyl.com/IndrajeetPatil/ggstatsplot) | [![Last-changedate](https://img.shields.io/badge/last%20change-2021--04--12-yellowgreen.svg)](https://github.com/IndrajeetPatil/ggstatsplot/commits/master) | [![GitHub last commit](https://img.shields.io/github/last-commit/IndrajeetPatil/ggstatsplot.svg)](https://github.com/IndrajeetPatil/ggstatsplot/commits/master) | | [![status](https://tinyverse.netlify.com/badge/ggstatsplot)](https://CRAN.R-project.org/package=ggstatsplot) | [![lints](https://github.com/IndrajeetPatil/ggstatsplot/workflows/lint/badge.svg)](https://github.com/IndrajeetPatil/ggstatsplot) | [![Gitter chat](https://badges.gitter.im/gitterHQ/gitter.png)](https://gitter.im/ggstatsplot/community) | [![Project Status](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) | [![contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/IndrajeetPatil/ggstatsplot/issues) | # Raison d’être @@ -148,19 +148,18 @@ context, run the following code in your `R` console: ``` r citation("ggstatsplot") - Patil, I. (2018). ggstatsplot: 'ggplot2' Based Plots with Statistical - Details. CRAN. doi:10.5281/zenodo.2074621. Retrieved from - https://cran.r-project.org/web/packages/ggstatsplot/index.html + Patil, I. (2018). Visualizations with statistical details: The + 'ggstatsplot' approach. PsyArxiv. doi:10.31234/osf.io/p7mku A BibTeX entry for LaTeX users is @Article{, - title = {{ggstatsplot}: 'ggplot2' Based Plots with Statistical Details}, + title = {Visualizations with statistical details: The 'ggstatsplot' approach}, author = {Indrajeet Patil}, - year = {2018}, - journal = {CRAN}, - url = {https://CRAN.R-project.org/package=ggstatsplot}, - doi = {10.5281/zenodo.2074621}, + year = {2021}, + journal = {PsyArxiv}, + url = {https://psyarxiv.com/p7mku/}, + doi = {10.31234/osf.io/p7mku}, } ``` diff --git a/docs/articles/web_only/faq.html b/docs/articles/web_only/faq.html index bde3f87fe..111deda96 100644 --- a/docs/articles/web_only/faq.html +++ b/docs/articles/web_only/faq.html @@ -190,12 +190,12 @@

2021-04-12

Following are a few of the common questions asked in GitHub issues and on social media platforms.

-I just want the plot, not the statistical details. How can I turn them off?

+1. I just want the plot, not the statistical details. How can I turn them off?

All functions in ggstatsplot that display results from statistical analysis in a subtitle have argument results.subtitle. Setting it to FALSE will return only the plot.

-How can I customize the details contained in the subtitle?

+2. How can I customize the details contained in the subtitle?

Sometimes you may not wish include so many details in the subtitle. In that case, you can extract the expression and copy-paste only the part you wish to include. For example, here only statistic and p-values are included:

 # setup
@@ -226,7 +226,7 @@ 

-I am getting Error in grid.Call error

+3. I am getting Error in grid.Call error

Sometimes, if you are working in RStudio, you might see the following error-

Error in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
 polygon edge not found
@@ -235,7 +235,7 @@

-Why do I get only plot in return but not the subtitle/caption?

+4. Why do I get only plot in return but not the subtitle/caption?

In order to prevent the function from failing when statistical analysis fails, functions in ggstatsplot default to first attempting to run the analysis and if they fail, then return empty (NULL) subtitle/caption. In such cases, if you wish to diagnose why the analysis is failing, you will have to do so using the underlying function used to carry out statistical analysis.

For example, the following returns only the plot but not the statistical details in a subtitle.

@@ -254,13 +254,13 @@ 

-What statistical test was carried out?

+5. What statistical test was carried out?

In case you are not sure what was the statistical test that produced the results shown in the subtitle of the plot, the best way to get that information is to either look at the documentation for the function used or check out the associated vignette.

Summary of all analysis is handily available in README: https://github.com/IndrajeetPatil/ggstatsplot/blob/master/README.md

-How can I use ggstatsplot functions in a for loop?

+6. How can I use ggstatsplot functions in a for loop?

Given that all functions in ggstatsplot use tidy evaluation, running these functions in a for loop requires minor adjustment to how inputs are entered:

 # setup
@@ -281,7 +281,7 @@ 

-How can I have uniform Y-axes ranges in grouped_ functions?

+7. How can I have uniform Y-axes ranges in grouped_ functions?
 # setup
 set.seed(123)
@@ -316,7 +316,7 @@ 

-Does ggstatsplot work with plotly?

+8. Does ggstatsplot work with plotly?

The plotly R graphing library makes it easy to produce interactive web graphics via plotly.js.

The ggstatsplot functions are compatible with plotly.

@@ -336,11 +336,11 @@ 

# converting to plotly object plotly::ggplotly(p, width = 480, height = 480)

- +

-How can I use grouped_ functions with more than one group?

+9. How can I use grouped_ functions with more than one group?

Currently, the grouped_ variants of functions only support repeating the analysis across a single grouping variable. Often, you have to run the same analysis across a combination of more than two grouping variables. This can be easily achieved using purrr package.

Here is an example-

@@ -383,7 +383,7 @@ 

-How can I include statistical expressions in facet labels?

+10. How can I include statistical expressions in facet labels?
 set.seed(123)
 library(ggplot2)
@@ -415,7 +415,7 @@ 

-Can you customize which pairs are shown in pairwise comparisons?

+11. Can you customize which pairs are shown in pairwise comparisons?

Currently, for ggbetweenstats and ggwithinstats, you can either display all significant comparisons, all non-significant comparisons, or all comparisons. But what if I am only interested in just one particular comparison?

Here is a workaround using ggsignif:

@@ -430,7 +430,7 @@ 

-How to access dataframe with results from pairwise comparisons?

+12. How to access dataframe with results from pairwise comparisons?
 library(ggstatsplot)
 library(ggplot2)
@@ -483,7 +483,7 @@ 

-How can I change annotation in pairwise comparisons?

+13. How can I change annotation in pairwise comparisons?

ggstatsplot defaults to displaying exact p-values or logged Bayes Factor values for pairwise comparisons. But what if you wish to adopt a different annotation labels?

You will have to customize them using pairwiseComparisons and ggsignif:

@@ -538,7 +538,7 @@ 

-How to access dataframe with results from ggpiestats and ggbarstats?

+14. How to access dataframe with results from ggpiestats and ggbarstats?
 # setup
 set.seed(123)
@@ -588,7 +588,7 @@ 

-How can I remove a particular geom layer from the plot?

+15. How can I remove a particular geom layer from the plot?

Sometimes you may not want a particular geom layer to be displayed. You can remove them using gginnards.

For example, let’s say we want to remove the geom_point() from ggwithinstats default plot.

@@ -635,7 +635,7 @@ 

-How can I modify the fill colors with custom values?

+16. How can I modify the fill colors with custom values?

Sometimes you may not be satisfied with the available color palette values. In this case, you can also change the colors by manually specifying these values.

 # needed libraries
@@ -658,7 +658,7 @@ 

-How can I modify grouped_ outputs using ggplot2 functions?

+17. How can I modify grouped_ outputs using ggplot2 functions?

All ggstatsplot are ggplot objects, which can be further modified, just like any other ggplot object. But exception to these are all plots returned by grouped_ functions, but there is a way to tackle this.

 # needed libraries
@@ -686,13 +686,13 @@ 

-How can I extract dataframe containing results from ggstatsplot?

+18. How can I extract dataframe containing results from ggstatsplot?

ggstatsplot can return expressions in the subtitle and caption, but what if you want to actually get back dataframe containing the results?

This is possible via statsExpressions: https://indrajeetpatil.github.io/statsExpressions/articles/dataframe_outputs.html

-How can I remove sample size labels for ggbarstats?

+19. How can I remove sample size labels for ggbarstats?
 library(ggstatsplot)
 library(gginnards)
@@ -706,9 +706,9 @@ 

-Test I need is not available. What can I do?

+20. Test I need is not available. What can I do?

By default, since ggstatsplot always allows just one type of test per statistical approach, sometimes your favorite test might not be available. For example, ggstatsplot provides only Spearman’s \(\rho\), but not Kendall’s \(\tau\) as a non-parametric correlation test.

-

In such cases, you can override the defaults and use statsExpressions to create custom expressions to display in the plot.

+

In such cases, you can override the defaults and use statsExpressions to create custom expressions to display in the plot. But be forewarned that the expression building functions in statsExpressions are not stable yet.

 # setup
 set.seed(123)
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How can I turn them off? +# 1. I just want the plot, not the statistical details. How can I turn them off? All functions in `ggstatsplot` that display results from statistical analysis in a subtitle have argument `results.subtitle`. Setting it to `FALSE` will return only the plot. -# How can I customize the details contained in the subtitle? +# 2. How can I customize the details contained in the subtitle? Sometimes you may not wish include so many details in the subtitle. In that case, you can extract the expression and copy-paste only the part you wish to @@ -76,7 +78,7 @@ ggplot(iris, aes(x = Species, y = Sepal.Length)) + ))) ``` -# I am getting `Error in grid.Call` error +# 3. I am getting `Error in grid.Call` error Sometimes, if you are working in `RStudio`, you might see the following error- @@ -91,7 +93,7 @@ those solutions solve your problem. If not, pray to the old and the new gods, and try again. It might just solve your problem. `r emo::ji("shrug")` -# Why do I get only plot in return but not the subtitle/caption? +# 4. Why do I get only plot in return but not the subtitle/caption? In order to prevent the function from failing when statistical analysis fails, functions in `ggstatsplot` default to first attempting to run the analysis and @@ -119,7 +121,7 @@ df <- data.frame(x = c("a", "b"), y = c(1, 2)) two_sample_test(data = df, x = x, y = y) ``` -# What statistical test was carried out? +# 5. What statistical test was carried out? In case you are not sure what was the statistical test that produced the results shown in the subtitle of the plot, the best way to get that information is to @@ -129,7 +131,7 @@ associated vignette. Summary of all analysis is handily available in `README`: -# How can I use `ggstatsplot` functions in a `for` loop? +# 6. How can I use `ggstatsplot` functions in a `for` loop? Given that all functions in `ggstatsplot` use tidy evaluation, running these functions in a `for` loop requires minor adjustment to how inputs are entered: @@ -156,7 +158,7 @@ dataframe in what you want to do, I will recommend you to have a look at -# How can I have uniform Y-axes ranges in `grouped_` functions? +# 7. How can I have uniform Y-axes ranges in `grouped_` functions? ```{r grouped_y_axes, fig.height=10, fig.width=8} # setup @@ -190,7 +192,7 @@ combine_plots( ) ``` -# Does `ggstatsplot` work with `plotly`? +# 8. Does `ggstatsplot` work with `plotly`? The `plotly` R graphing library makes it easy to produce interactive web graphics via `plotly.js`. @@ -215,7 +217,7 @@ p <- plotly::ggplotly(p, width = 480, height = 480) ``` -# How can I use `grouped_` functions with more than one group? +# 9. How can I use `grouped_` functions with more than one group? Currently, the `grouped_` variants of functions only support repeating the analysis across a _single_ grouping variable. Often, you have to run the same @@ -261,7 +263,7 @@ ggstatsplot::combine_plots( ) ``` -# How can I include statistical expressions in facet labels? +# 10. How can I include statistical expressions in facet labels? ```{r facet_expr, fig.width = 6, fig.height = 8} set.seed(123) @@ -292,7 +294,7 @@ mtcars1 %>% ) ``` -# Can you customize which pairs are shown in pairwise comparisons? +# 11. Can you customize which pairs are shown in pairwise comparisons? Currently, for `ggbetweenstats` and `ggwithinstats`, you can either display all **significant** comparisons, all **non-significant** comparisons, or **all** @@ -310,7 +312,7 @@ ggbetweenstats(mtcars, cyl, wt, pairwise.comparisons = FALSE) + geom_signif(comparisons = list(c("4", "6"))) ``` -# How to access dataframe with results from pairwise comparisons? +# 12. How to access dataframe with results from pairwise comparisons? ```{r} library(ggstatsplot) @@ -331,7 +333,7 @@ library(pairwiseComparisons) pairwise_comparisons(mtcars, cyl, wt) ``` -# How can I change annotation in pairwise comparisons? +# 13. How can I change annotation in pairwise comparisons? `ggstatsplot` defaults to displaying exact p-values or logged Bayes Factor values for pairwise comparisons. But what if you wish to adopt a different @@ -373,7 +375,7 @@ p + ) ``` -# How to access dataframe with results from `ggpiestats` and `ggbarstats`? +# 14. How to access dataframe with results from `ggpiestats` and `ggbarstats`? ```{r proptest_df} # setup @@ -393,7 +395,7 @@ pb$plot$plot_env$df_proptest pb$plot$plot_env$df_descriptive ``` -# How can I remove a particular `geom` layer from the plot? +# 15. How can I remove a particular `geom` layer from the plot? Sometimes you may not want a particular `geom` layer to be displayed. You can remove them using `gginnards`. @@ -446,12 +448,12 @@ p <- gginnards::delete_layers(x = p, match_type = "GeomPoint") p + geom_point(shape = 23, aes(color = am)) ``` -# How can I modify the fill colors with custom values? +# 16. How can I modify the fill colors with custom values? Sometimes you may not be satisfied with the available color palette values. In this case, you can also change the colors by manually specifying these values. -```{r ggbar_colors, fig.width = 3, fig.height = 3} +```{r ggbar_colors, fig.width = 5, fig.height = 5} # needed libraries set.seed(123) library(ggstatsplot) @@ -472,7 +474,7 @@ ggstatsplot::grouped_ggpiestats( ) ``` -# How can I modify `grouped_` outputs using `ggplot2` functions? +# 17. How can I modify `grouped_` outputs using `ggplot2` functions? All `ggstatsplot` are `ggplot` objects, which can be further modified, just like any other `ggplot` object. But exception to these are all plots returned by @@ -502,7 +504,7 @@ grouped_ggbetweenstats( ) ``` -# How can I extract dataframe containing results from `ggstatsplot`? +# 18. How can I extract dataframe containing results from `ggstatsplot`? `ggstatsplot` can return expressions in the subtitle and caption, but what if you want to actually get back dataframe containing the results? @@ -510,7 +512,7 @@ you want to actually get back dataframe containing the results? This is possible via `statsExpressions`: -# How can I remove sample size labels for `ggbarstats`? +# 19. How can I remove sample size labels for `ggbarstats`? ```{r ggbar_samplesize} library(ggstatsplot) @@ -523,7 +525,7 @@ p <- ggbarstats(mtcars, am, cyl) delete_layers(p, "GeomText") ``` -# Test I need is not available. What can I do? +# 20. Test I need is not available. What can I do? By default, since `ggstatsplot` always allows just **one** type of test per statistical approach, sometimes your favorite test might not be available. For @@ -531,7 +533,8 @@ example, `ggstatsplot` provides only Spearman's $\rho$, but not Kendall's $\tau$ as a non-parametric correlation test. In such cases, you can override the defaults and use `statsExpressions` to -create custom expressions to display in the plot. +create custom expressions to display in the plot. But be forewarned that the +expression building functions in `statsExpressions` are not stable yet. ```{r custom_test, fig.width = 6, fig.height = 6} # setup