{"id":8215,"date":"2018-11-20T08:16:51","date_gmt":"2018-11-20T06:16:51","guid":{"rendered":"https:\/\/www.datanovia.com\/en\/?p=8215"},"modified":"2019-12-25T11:13:25","modified_gmt":"2019-12-25T09:13:25","slug":"how-to-stimulate-colorblindness-vision-in-r-figures","status":"publish","type":"post","link":"https:\/\/www.datanovia.com\/en\/blog\/how-to-stimulate-colorblindness-vision-in-r-figures\/","title":{"rendered":"How to Stimulate Colorblindness Vision in R Figures"},"content":{"rendered":"<div id=\"rdoc\">\n<p>This article describes how to <strong>simulate colorblindness vision<\/strong> in production-ready <strong>R<\/strong> figures using the <code>colorblinr<\/code> package. We\u2019ll also present some colorblind-friendly palette.<\/p>\n<p>In some populations, up to 10% of men have color vision deficiencies (cvd).<\/p>\n<p>The R package <a href=\"https:\/\/github.com\/clauswilke\/colorblindr\">colorblindr<\/a> can be used to simulate colorblindness in R. At the time that we write this document (2018-11-20), this package depends on the development versions of <code>cowplot<\/code> and <code>colorspace<\/code>.<\/p>\n<p>Contents:<\/p>\n<div id=\"TOC\">\n<ul>\n<li><a href=\"#install-colorblindr-and-dependencies\">Install colorblindr and dependencies<\/a><\/li>\n<li><a href=\"#load-required-packages\">Load required packages<\/a><\/li>\n<li><a href=\"#key-r-functions\">Key R functions<\/a><\/li>\n<li><a href=\"#create-a-basic-ggplot\">Create a basic ggplot<\/a><\/li>\n<li><a href=\"#color-vision-deficiency-simulations\">Color-vision-deficiency simulations<\/a><\/li>\n<li><a href=\"#colorblind-friendly-palettes\">Colorblind-friendly palettes<\/a><\/li>\n<li><a href=\"#new-workflow-for-figure-and-image-design\">New workflow for figure and image design<\/a><\/li>\n<li><a href=\"#conclusion\">Conclusion<\/a><\/li>\n<\/ul>\n<\/div>\n<div id=\"install-colorblindr-and-dependencies\" class=\"section level2\">\n<h2>Install colorblindr and dependencies<\/h2>\n<p>This section shows how to install <code>colorblindr<\/code> package and dependencies.<\/p>\n<ol style=\"list-style-type: decimal;\" start=\"0\">\n<li>Install <code>devtools<\/code>, which makes it easy to install the developmental version of the other packages<\/li>\n<\/ol>\n<pre class=\"r\"><code>if(require(devtools)) install.packages(\"devtools\")<\/code><\/pre>\n<ol style=\"list-style-type: decimal;\">\n<li>Install <code>cowplot<\/code><\/li>\n<\/ol>\n<pre class=\"r\"><code>devtools::install_github(\"wilkelab\/cowplot\")<\/code><\/pre>\n<ol style=\"list-style-type: decimal;\" start=\"2\">\n<li>Install <code>colorspace<\/code><\/li>\n<\/ol>\n<pre class=\"r\"><code># for windows use this\r\ninstall.packages(\"colorspace\", repos = \"http:\/\/R-Forge.R-project.org\")\r\n\r\n# Or for MAC OS X \/Linux, use this: \r\nURL &lt;- paste0(\"http:\/\/download.r-forge.r-project.org\/src\/contrib\/\",\r\n              \"colorspace_1.4-0.tar.gz\")\r\ndevtools::install_url(URL)<\/code><\/pre>\n<ol style=\"list-style-type: decimal;\" start=\"3\">\n<li>Install <code>colorblindr<\/code><\/li>\n<\/ol>\n<pre class=\"r\"><code>devtools::install_github(\"clauswilke\/colorblindr\")<\/code><\/pre>\n<\/div>\n<div id=\"load-required-packages\" class=\"section level2\">\n<h2>Load required packages<\/h2>\n<pre class=\"r\"><code>library(ggplot2)\r\nlibrary(cowplot)\r\nlibrary(colorspace)\r\nlibrary(colorblindr)<\/code><\/pre>\n<\/div>\n<div id=\"key-r-functions\" class=\"section level2\">\n<h2>Key R functions<\/h2>\n<p>Key functions in the <code>colorblindr<\/code> R package:<\/p>\n<ul>\n<li><code>cvd_grid()<\/code>: Create a grid of different color-vision-deficiency simulations of a plot.<\/li>\n<li><code>edit_colors()<\/code>: Edit colors in existing plot. Can modify colors in existing ggplot2 plots, grid objects, or R base plots provided as recorded plots.<\/li>\n<li><code>scale_colour_OkabeIto()<\/code> or <code>scale_color_OkabeIto()<\/code> and <code>scale_fill_OkabeIto()<\/code>: This is a color-blind friendly, qualitative scale with eight different colors.<\/li>\n<\/ul>\n<\/div>\n<div id=\"create-a-basic-ggplot\" class=\"section level2\">\n<h2>Create a basic ggplot<\/h2>\n<pre class=\"r\"><code>p &lt;- ggplot(iris, aes(Species, Sepal.Length)) +\r\n  geom_boxplot(aes(fill = Species)) +\r\n  theme_minimal() + \r\n  theme(legend.position = \"none\")\r\np<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/0105-colorblind-vision-simulation-ggplot-1.png\" width=\"288\" \/><\/p>\n<\/div>\n<div id=\"color-vision-deficiency-simulations\" class=\"section level2\">\n<h2>Color-vision-deficiency simulations<\/h2>\n<p>The function <code>cvd_grid()<\/code> can be used to quickly show the most severe forms of each color vision deficiency.<\/p>\n<pre class=\"r\"><code>cvd_grid(p)<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/0105-colorblind-vision-simulation-color-vision-deficiency-simulation-cvd_grid-1.png\" width=\"576\" \/><\/p>\n<p>It\u2019s also possible to edit a plot as follow:<\/p>\n<pre class=\"r\"><code># Use deutan, protan or tritan functions [in colorspace]\r\np2 &lt;- edit_colors(p, deutan, sev = 0.7)\r\ncowplot::plot_grid(p, p2)<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/0105-colorblind-vision-simulation-colorblindr-edit_colors-1.png\" width=\"576\" \/><\/p>\n<\/div>\n<div id=\"colorblind-friendly-palettes\" class=\"section level2\">\n<h2>Colorblind-friendly palettes<\/h2>\n<p>The <code>colorblindr<\/code> package comes with a color scale that works better for people with color-vision deficiency. You can use it to modify a ggplot color.<\/p>\n<p>Key functions:<\/p>\n<ul>\n<li><code>scale_colour_OkabeIto()<\/code> or <code>scale_color_OkabeIto()<\/code><\/li>\n<li><code>scale_fill_OkabeIto()<\/code><\/li>\n<\/ul>\n<p>For example, type this:<\/p>\n<pre class=\"r\"><code># Figure before cvd simulation\r\np3 &lt;- p + scale_fill_OkabeIto()\r\np3<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/0105-colorblind-vision-simulation-colorblind-palettes-1.png\" width=\"288\" \/><\/p>\n<p>Figure after color-vision-deficiency simulation:<\/p>\n<pre class=\"r\"><code>cvd_grid(p3)<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/0105-colorblind-vision-simulation-color-vision-deficiency-simulation-1.png\" width=\"576\" \/><\/p>\n<\/div>\n<div id=\"new-workflow-for-figure-and-image-design\" class=\"section level2\">\n<h2>New workflow for figure and image design<\/h2>\n<ol style=\"list-style-type: decimal;\">\n<li>Make figures or images<\/li>\n<li>Check colors using <code>cvd_grid()<\/code><\/li>\n<li>Iterate color choices until colors are distinguishable in all conditions<\/li>\n<\/ol>\n<p>Read more at: <a href=\"http:\/\/jfly.iam.u-tokyo.ac.jp\/color\/\">Color Universal Design (CUD) - How to make figures and presentations that are friendly to Colorblind people<\/a><\/p>\n<\/div>\n<div id=\"conclusion\" class=\"section level2\">\n<h2>Conclusion<\/h2>\n<p>This article introduces how to simulate colorblindness in production-ready figures using the R package <code>colorblindr<\/code>.<\/p>\n<\/div>\n<\/div>\n<p><!--end rdoc--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This article describes how to simulate colorblindness vision in production-ready R figures using the colorblinr package. We\u2019ll also present some colorblind-friendly palette. In some populations, up to 10% of men [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":7955,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rating_form_position":"","rating_results_position":"","mr_structured_data_type":"","footnotes":""},"categories":[126],"tags":[125],"class_list":["post-8215","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-r-tips-and-tricks","tag-r-colors"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to Stimulate Colorblindness Vision in R Figures - Datanovia<\/title>\n<meta name=\"description\" content=\"Learn how to simulate colorblindness vision in production-ready R figures using the colorblinr package. 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