{"id":15729,"date":"2020-04-12T08:59:38","date_gmt":"2020-04-12T07:59:38","guid":{"rendered":"https:\/\/www.datanovia.com\/en\/?p=15729"},"modified":"2020-04-13T14:12:20","modified_gmt":"2020-04-13T13:12:20","slug":"comment-creer-une-heatmap-interactive-de-matrice-de-correlation-dans-r","status":"publish","type":"post","link":"https:\/\/www.datanovia.com\/en\/fr\/blog\/comment-creer-une-heatmap-interactive-de-matrice-de-correlation-dans-r\/","title":{"rendered":"Comment Cr\u00e9er une Heatmap Interactive de Matrice de Corr\u00e9lation dans R"},"content":{"rendered":"<div id=\"rdoc\">\n<p>Cet article d\u00e9crit comment cr\u00e9er une <strong>matrice de corr\u00e9lation interactive dans R<\/strong>. Vous apprendrez deux approches diff\u00e9rentes:<\/p>\n<ol style=\"list-style-type: decimal;\">\n<li>Utilisation du package R <em>heatmaply<\/em><\/li>\n<li>Utilisation de la combinaison des packages R <code>ggcorrplot<\/code> et <code>plotly<\/code>.<\/li>\n<\/ol>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/r-tutorial\/images\/heatmaply-interactive-heatmap-in-r.gif\" alt=\"Heatmap interactive dans R en utilisant heatmaply\" \/><\/p>\n<p>Sommaire:<\/p>\n<div id=\"TOC\">\n<ul>\n<li><a href=\"#pr\u00e9requis\">Pr\u00e9requis<\/a><\/li>\n<li><a href=\"#pr\u00e9paration-des-donn\u00e9es\">Pr\u00e9paration des donn\u00e9es<\/a><\/li>\n<li><a href=\"#heatmaps-de-corr\u00e9lation-utilisant-heatmaply\">Heatmaps de corr\u00e9lation utilisant heatmaply<\/a>\n<ul>\n<li><a href=\"#charger-les-packages-r\">Charger les packages R<\/a><\/li>\n<li><a href=\"#heatmap-de-base-de-la-matrice-de-corr\u00e9lation\">Heatmap de base de la matrice de corr\u00e9lation<\/a><\/li>\n<li><a href=\"#modifier-la-taille-du-point-en-fonction-des-p-values-du-test-de-corr\u00e9lation\">Modifier la taille du point en fonction des p-values du test de corr\u00e9lation<\/a><\/li>\n<\/ul>\n<\/li>\n<li><a href=\"#heatmaps-de-corr\u00e9lation-utilisant-ggcorrplot\">Heatmaps de corr\u00e9lation utilisant ggcorrplot<\/a>\n<ul>\n<li><a href=\"#charger-les-packages-r-1\">Charger les packages R<\/a><\/li>\n<li><a href=\"#heatmap-statique-de-la-matrice-de-corr\u00e9lation\">Heatmap statique de la matrice de corr\u00e9lation<\/a><\/li>\n<li><a href=\"#rendre-la-heatmap-interactive\">Rendre la Heatmap interactive<\/a><\/li>\n<\/ul>\n<\/li>\n<li><a href=\"#r\u00e9f\u00e9rences\">R\u00e9f\u00e9rences<\/a><\/li>\n<\/ul>\n<\/div>\n<div id=\"pr\u00e9requis\" class=\"section level2\">\n<h2>Pr\u00e9requis<\/h2>\n<p>Installer les packages R n\u00e9cessaires:<\/p>\n<pre class=\"r\"><code>install.packages(\"plotly\")\r\ninstall.packages(\"heatmaply\")\r\ninstall.packages(\"ggcorrplot\")<\/code><\/pre>\n<\/div>\n<div id=\"pr\u00e9paration-des-donn\u00e9es\" class=\"section level2\">\n<h2>Pr\u00e9paration des donn\u00e9es<\/h2>\n<pre class=\"r\"><code>df &lt;- mtcars<\/code><\/pre>\n<\/div>\n<div id=\"heatmaps-de-corr\u00e9lation-utilisant-heatmaply\" class=\"section level2\">\n<h2>Heatmaps de corr\u00e9lation utilisant heatmaply<\/h2>\n<div id=\"charger-les-packages-r\" class=\"section level3\">\n<h3>Charger les packages R<\/h3>\n<pre class=\"r\"><code>library(heatmaply)<\/code><\/pre>\n<\/div>\n<div id=\"heatmap-de-base-de-la-matrice-de-corr\u00e9lation\" class=\"section level3\">\n<h3>Heatmap de base de la matrice de corr\u00e9lation<\/h3>\n<p>Utilisez les arguments <code>k_col<\/code> et <code>k_row<\/code> pour sp\u00e9cifier le nombre de groupes d\u00e9sir\u00e9s pour colorer les branches du dendrogramme dans les colonnes et les lignes, respectivement.<\/p>\n<pre class=\"r\"><code>heatmaply_cor(\r\n  cor(df),\r\n  xlab = \"Features\", \r\n  ylab = \"Features\",\r\n  k_col = 2, \r\n  k_row = 2\r\n)<\/code><\/pre>\n<p><iframe width=\"95%\" height=\"600\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/r-tutorial\/figures\/interactive-correlation-matrix-heatmap-in-r-correlation-heatmaps.html\" frameborder=\"2\"><br \/>\n<\/iframe><\/p>\n<\/div>\n<div id=\"modifier-la-taille-du-point-en-fonction-des-p-values-du-test-de-corr\u00e9lation\" class=\"section level3\">\n<h3>Modifier la taille du point en fonction des p-values du test de corr\u00e9lation<\/h3>\n<pre class=\"r\"><code># Calculer les coefficients de corr\u00e9lation\r\ncor.coef &lt;- cor(df)\r\n\r\n# Calculer les p-values de corr\u00e9lation\r\ncor.test.p &lt;- function(x){\r\n    FUN &lt;- function(x, y) cor.test(x, y)[[\"p.value\"]]\r\n    z &lt;- outer(\r\n      colnames(x), \r\n      colnames(x), \r\n      Vectorize(function(i,j) FUN(x[,i], x[,j]))\r\n    )\r\n    dimnames(z) &lt;- list(colnames(x), colnames(x))\r\n    z\r\n}\r\np &lt;- cor.test.p(df)<\/code><\/pre>\n<pre class=\"r\"><code># Cr\u00e9er la Heatmap\r\nheatmaply_cor(\r\n  cor.coef,\r\n  node_type = \"scatter\",\r\n  point_size_mat = -log10(p), \r\n  point_size_name = \"-log10(p-value)\",\r\n  label_names = c(\"x\", \"y\", \"Correlation\")\r\n)<\/code><\/pre>\n<p><iframe width=\"95%\" height=\"600\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/r-tutorial\/figures\/interactive-correlation-matrix-heatmap-in-r-correlation-heatmaps-change-poinsize-by-p-values.html\" frameborder=\"2\"><br \/>\n<\/iframe><\/p>\n<\/div>\n<\/div>\n<div id=\"heatmaps-de-corr\u00e9lation-utilisant-ggcorrplot\" class=\"section level2\">\n<h2>Heatmaps de corr\u00e9lation utilisant ggcorrplot<\/h2>\n<div id=\"charger-les-packages-r-1\" class=\"section level3\">\n<h3>Charger les packages R<\/h3>\n<pre class=\"r\"><code>library(ggcorrplot)<\/code><\/pre>\n<\/div>\n<div id=\"heatmap-statique-de-la-matrice-de-corr\u00e9lation\" class=\"section level3\">\n<h3>Heatmap statique de la matrice de corr\u00e9lation<\/h3>\n<pre class=\"r\"><code># Calculer une matrice de corr\u00e9lation\r\ncorr &lt;- round(cor(df), 1)\r\n\r\n# Calculer une matrice de p-values de corr\u00e9lation\r\np.mat &lt;- cor_pmat(df)\r\n\r\n# Visualiser le triangle inf\u00e9rieur de la matrice de corr\u00e9lation\r\n# Barrer les coefficients on significatifs\r\ncorr.plot &lt;- ggcorrplot(\r\n  corr, hc.order = TRUE, type = \"lower\", outline.col = \"white\",\r\n  p.mat = p.mat\r\n  )\r\ncorr.plot<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/r-tutorial\/figures\/interactive-correlation-matrix-heatmap-in-r-static-plot-1.png\" width=\"576\" \/><\/p>\n<\/div>\n<div id=\"rendre-la-heatmap-interactive\" class=\"section level3\">\n<h3>Rendre la Heatmap interactive<\/h3>\n<pre class=\"r\"><code>library(plotly)\r\nggplotly(corr.plot)<\/code><\/pre>\n<p><iframe width=\"95%\" height=\"600\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/r-tutorial\/figures\/interactive-correlation-matrix-heatmap-in-r-interactive-ggcorrplot.html\" frameborder=\"2\"><br \/>\n<\/iframe><\/p>\n<p>`<\/p>\n<\/div>\n<\/div>\n<div id=\"r\u00e9f\u00e9rences\" class=\"section level2\">\n<h2>R\u00e9f\u00e9rences<\/h2>\n<ul>\n<li><a href=\"https:\/\/rpkgs.datanovia.com\/ggcorrplot\/\">ggcorrplot : Visualisation d\u2019une matrice de corr\u00e9lation \u00e0 l\u2019aide de ggplot2<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/talgalili\/heatmaply\">Heatmaply : Heatmaps interactifs dans R en utilisant plotly<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<p><!--end rdoc--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cet article d\u00e9crit comment cr\u00e9er une matrice de corr\u00e9lation interactive dans R. Vous apprendrez deux approches diff\u00e9rentes: Utilisation du package R heatmaply Utilisation de la combinaison des packages R ggcorrplot [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":15716,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rating_form_position":"","rating_results_position":"","mr_structured_data_type":"","footnotes":""},"categories":[272],"tags":[364,283],"class_list":["post-15729","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analyse-de-correlation","tag-heatmap-fr","tag-visualisation-interactive"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Comment Cr\u00e9er une Heatmap Interactive de Matrice de Corr\u00e9lation dans R - Datanovia<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.datanovia.com\/en\/fr\/blog\/comment-creer-une-heatmap-interactive-de-matrice-de-correlation-dans-r\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Comment Cr\u00e9er une Heatmap Interactive de Matrice de Corr\u00e9lation dans R - Datanovia\" \/>\n<meta property=\"og:description\" content=\"Cet article d\u00e9crit comment cr\u00e9er une matrice de corr\u00e9lation interactive dans R. 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