{"id":10470,"date":"2019-11-17T22:59:00","date_gmt":"2019-11-17T20:59:00","guid":{"rendered":"https:\/\/www.datanovia.com\/en\/?post_type=dt_lessons&#038;p=10470"},"modified":"2019-11-17T22:59:00","modified_gmt":"2019-11-17T20:59:00","slug":"ggplot-dot-plot","status":"publish","type":"dt_lessons","link":"https:\/\/www.datanovia.com\/en\/fr\/lessons\/ggplot-dot-plot\/","title":{"rendered":"GGPLOT Dot Plot"},"content":{"rendered":"<div id=\"rdoc\">\n<p>Un <strong>dot plot<\/strong> est utilis\u00e9 pour visualiser la distribution des donn\u00e9es. Ce graphique cr\u00e9e des points empil\u00e9s, o\u00f9 chaque point repr\u00e9sente une observation.<\/p>\n<p>Des statistiques descriptives sont habituellement ajout\u00e9es aux dot plots pour indiquer, par exemple, la m\u00e9diane des donn\u00e9es et l\u2019\u00e9cart interquartile.<\/p>\n<p>Cet article d\u00e9crit comment cr\u00e9er et personnaliser des <strong>dot plots<\/strong> en utilisant le package <strong>ggplot2<\/strong> dans R.<\/p>\n<p>Sommaire:<\/p>\n<div id=\"TOC\">\n<ul>\n<li><a href=\"#fonctions-r-cles\">Fonctions R cl\u00e9s<\/a><\/li>\n<li><a href=\"#preparation-des-donnees\">Pr\u00e9paration des donn\u00e9es<\/a><\/li>\n<li><a href=\"#chargement-des-packages-r-requis\">Chargement des packages R requis<\/a><\/li>\n<li><a href=\"#dot-plots-basiques\">Dot plots basiques<\/a><\/li>\n<li><a href=\"#creer-un-dot-plot-avec-plusieurs-groupes\">Cr\u00e9er un dot plot avec plusieurs groupes<\/a><\/li>\n<li><a href=\"#conclusion\">Conclusion<\/a><\/li>\n<\/ul>\n<\/div>\n<div class='dt-sc-hr-invisible-medium  '><\/div>\n<div class='dt-sc-ico-content type1'><div class='custom-icon' ><a href='https:\/\/www.datanovia.com\/en\/fr\/produit\/ggplot2-lessentiel-pour-une-visualisation-magnifique-des-donnees-dans-r\/' target='_blank'><span class='fa fa-book'><\/span><\/a><\/div><h4><a href='https:\/\/www.datanovia.com\/en\/fr\/produit\/ggplot2-lessentiel-pour-une-visualisation-magnifique-des-donnees-dans-r\/' target='_blank'> Livre Apparent\u00e9 <\/a><\/h4>GGPLOT2 - L\u2019Essentiel pour une Visualisation Magnifique des Donn\u00e9es dans R<\/div>\n<div class='dt-sc-hr-invisible-medium  '><\/div>\n<div id=\"fonctions-r-cles\" class=\"section level2\">\n<h2>Fonctions R cl\u00e9s<\/h2>\n<ul>\n<li>Fonction cl\u00e9: <code>geom_dotplot()<\/code>. Cr\u00e9e des points empil\u00e9s, chaque point repr\u00e9sentant une observation.<\/li>\n<li>Arguments cl\u00e9s:\n<ul>\n<li><code>stackdir<\/code>: la direction dans laquelle les points doivent \u00eatre empil\u00e9s. \u201cup\u201d (haut, par d\u00e9faut), \u201cdown\u201d (bas), center (centre), \u201ccenterwhole\u201d (centr\u00e9, mais avec des points align\u00e9s).<\/li>\n<li><code>stackratio<\/code>: \u00e0 quelle distance empiler les points. La valeur par d\u00e9faut est 1, o\u00f9 les points se touchent. Utilisez des valeurs plus petites pour des points plus proches et se chevauchant.<\/li>\n<li><code>color<\/code>, <code>fill<\/code>: Couleur des bordures des points et couleur de remplissage de la surface<\/li>\n<li><code>dotsize<\/code>: Le diam\u00e8tre des points par rapport au binwidth, par d\u00e9faut 1.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/div>\n<div id=\"preparation-des-donnees\" class=\"section level2\">\n<h2>Pr\u00e9paration des donn\u00e9es<\/h2>\n<ul>\n<li>Donn\u00e9es de d\u00e9monstration: <code>ToothGrowth<\/code>\n<ul>\n<li>Variable continue : <code>len<\/code> (longueur des dents). Utilis\u00e9 sur l\u2019axe des y<\/li>\n<li>Variable de regroupement : <code>dose<\/code> (doses de vitamine C : 0,5, 1 et 2 mg\/jour). Utilis\u00e9 sur l\u2019axe des x.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>Tout d\u2019abord, convertir la variable <code>dose<\/code> d\u2019une variable num\u00e9rique en une variable discr\u00e8te de groupes:<\/p>\n<pre class=\"r\"><code>data(\"ToothGrowth\")\r\nToothGrowth$dose &lt;- as.factor(ToothGrowth$dose)\r\nhead(ToothGrowth, 4)<\/code><\/pre>\n<pre><code>##    len supp dose\r\n## 1  4.2   VC  0.5\r\n## 2 11.5   VC  0.5\r\n## 3  7.3   VC  0.5\r\n## 4  5.8   VC  0.5<\/code><\/pre>\n<\/div>\n<div id=\"chargement-des-packages-r-requis\" class=\"section level2\">\n<h2>Chargement des packages R requis<\/h2>\n<p>Chargez le package ggplot2 et mettez le th\u00e8me par d\u00e9faut \u00e0 <code>theme_classic()<\/code> avec la l\u00e9gende en haut du graphique:<\/p>\n<pre class=\"r\"><code>library(ggplot2)\r\ntheme_set(\r\n  theme_classic() +\r\n    theme(legend.position = \"top\")\r\n  )<\/code><\/pre>\n<\/div>\n<div id=\"dot-plots-basiques\" class=\"section level2\">\n<h2>Dot plots basiques<\/h2>\n<p>Nous commen\u00e7ons par initier un graphique nomm\u00e9 <code>e<\/code>, puis nous allons ajouter des couches. Le code R suivant cr\u00e9e des pointill\u00e9s combin\u00e9s avec des statistiques descriptives (moyenne +\/- SD), des boxplots et des violin plots.<\/p>\n<pre class=\"r\"><code># Initialiser un ggplot\r\ne &lt;- ggplot(ToothGrowth, aes(x = dose, y = len))\r\n\r\n# Dotplot avec statistiques descriptives : moyenne +\/- SD\r\ne + geom_dotplot(binaxis = \"y\", stackdir = \"center\", fill = \"lightgray\") + \r\n  stat_summary(fun.data = \"mean_sdl\", fun.args = list(mult=1))\r\n\r\n# Dot plots combin\u00e9es avec des box plots\r\ne + geom_boxplot(width = 0.5) + \r\n  geom_dotplot(binaxis = \"y\", stackdir = \"center\", fill = \"lightgray\") \r\n\r\n# Dot plot + Violin plot + statistiques descriptives\r\ne + geom_violin(trim = FALSE) +\r\n  geom_dotplot(binaxis='y', stackdir='center', fill = \"#999999\") +\r\n  stat_summary(fun.data=\"mean_sdl\",  fun.args = list(mult=1))<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/007-ggplot-dotplot-geom_dotplot-dot-plot-with-summary-statistics-1.png\" width=\"220.8\" \/><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/007-ggplot-dotplot-geom_dotplot-dot-plot-with-summary-statistics-2.png\" width=\"220.8\" \/><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/007-ggplot-dotplot-geom_dotplot-dot-plot-with-summary-statistics-3.png\" width=\"220.8\" \/><\/p>\n<div class=\"notice\">\n<p>La fonction <code>mean_sdl<\/code> est utilis\u00e9e pour ajouter la moyenne et l\u2019\u00e9cart-type. Il calcule la moyenne plus ou moins une constante fois l\u2019\u00e9cart-type. Dans le code R ci-dessus, la constante est sp\u00e9cifi\u00e9e en utilisant l\u2019argument <code>mult<\/code> (mult = 1). Par d\u00e9faut mult = 2. La moyenne +\/- SD peut \u00eatre ajout\u00e9e sous forme de crossbar ou de pointrange.<\/p>\n<\/div>\n<\/div>\n<div id=\"creer-un-dot-plot-avec-plusieurs-groupes\" class=\"section level2\">\n<h2>Cr\u00e9er un dot plot avec plusieurs groupes<\/h2>\n<p>Deux variables de regroupement diff\u00e9rentes sont utilis\u00e9es : <code>dose<\/code> sur l\u2019axe des x et <code>supp<\/code> pour la couleur (variable de la l\u00e9gende).<\/p>\n<p>L\u2019espace entre les graphiques group\u00e9s est ajust\u00e9 \u00e0 l\u2019aide de la fonction <code>position_dodge()<\/code>.<\/p>\n<pre class=\"r\"><code># Changer la couleur de remplissage des points par groupes\r\ne + geom_boxplot(width = 0.5) +\r\n  geom_dotplot(aes(fill = supp), binaxis='y', stackdir='center')+\r\n  scale_fill_manual(values = c(\"#00AFBB\", \"#E7B800\"))\r\n\r\n# Modifier la position : intervalle entre les dot plots d'un m\u00eame groupe\r\ne + geom_boxplot(aes(color = supp), width = 0.5, position = position_dodge(0.8)) +\r\n  geom_dotplot(aes(fill = supp, color = supp), binaxis='y', stackdir='center', \r\n               dotsize = 0.8,position = position_dodge(0.8))+\r\n  scale_fill_manual(values = c(\"#00AFBB\", \"#E7B800\"))+\r\n  scale_color_manual(values = c(\"#00AFBB\", \"#E7B800\"))<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/007-ggplot-dotplot-geom_dotplot-dotplot-with-multiple-groups-1.png\" width=\"288\" \/><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/007-ggplot-dotplot-geom_dotplot-dotplot-with-multiple-groups-2.png\" width=\"288\" \/><\/p>\n<\/div>\n<div id=\"conclusion\" class=\"section level2\">\n<h2>Conclusion<\/h2>\n<p>Cet article d\u00e9crit comment cr\u00e9er un graphique de points \u00e0 l\u2019aide du package ggplot2.<\/p>\n<\/div>\n<\/div>\n<p><!--end rdoc--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Un Dot Plot est utilis\u00e9 pour visualiser la distribution des donn\u00e9es. Ce graphique cr\u00e9e des points empil\u00e9s, o\u00f9 chaque point repr\u00e9sente une observation. Des statistiques descriptives sont habituellement ajout\u00e9es aux Dot plots pour indiquer, par exemple, la m\u00e9diane des donn\u00e9es et l&rsquo;\u00e9cart interquartile. Cet article d\u00e9crit comment cr\u00e9er et personnaliser des Dot Plots en utilisant le package R ggplot2.<\/p>\n","protected":false},"author":1,"featured_media":10471,"parent":0,"menu_order":8,"comment_status":"open","ping_status":"closed","template":"","class_list":["post-10470","dt_lessons","type-dt_lessons","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>GGPLOT Dot Plot: Meilleure R\u00e9f\u00e9rence - 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\/lessons\/ggplot-dot-plot\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GGPLOT Dot Plot: Meilleure R\u00e9f\u00e9rence - Datanovia\" \/>\n<meta property=\"og:description\" content=\"Un Dot Plot est utilis\u00e9 pour visualiser la distribution des donn\u00e9es. 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