{"id":16070,"date":"2020-05-05T18:47:24","date_gmt":"2020-05-05T17:47:24","guid":{"rendered":"https:\/\/www.datanovia.com\/en\/?p=16070"},"modified":"2020-05-05T18:48:39","modified_gmt":"2020-05-05T17:48:39","slug":"ggpubr-comment-ajouter-des-p-values-generees-ailleurs-a-un-ggplot","status":"publish","type":"post","link":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggpubr-comment-ajouter-des-p-values-generees-ailleurs-a-un-ggplot\/","title":{"rendered":"GGPUBR : Comment Ajouter des P-Values G\u00e9n\u00e9r\u00e9es Ailleurs \u00e0 un GGPLOT"},"content":{"rendered":"<div id=\"rdoc\">\n<p>Cet article d\u00e9crit comment <strong>ajouter des p-values g\u00e9n\u00e9r\u00e9es ailleurs \u00e0 un ggplot<\/strong> en utilisant le package ggpubr. Les fonctions cl\u00e9s suivantes de ggpubr seront utilis\u00e9es:<\/p>\n<ul>\n<li><code>stat_pvalue_manual()<\/code>: Ajouter manuellement des p-values \u00e0 un ggplot, tels que des box blots, des points et des stripcharts.<\/li>\n<li><code>geom_bracket()<\/code>: Ajouter des crochets avec annotations \u00e0 un ggplot. Aides pour ajouter une p-value ou des niveaux de significativit\u00e9 \u00e0 un graphique.<\/li>\n<\/ul>\n<p>Vous apprendrez \u00e0:<\/p>\n<ul>\n<li>Ajouter des p-values personnalis\u00e9es cr\u00e9\u00e9es ailleurs<\/li>\n<li>Ajouter les p-values obtenues \u00e0 partir du <a href=\"https:\/\/rpkgs.datanovia.com\/rstatix\/\">package R rstatix<\/a><\/li>\n<li>Ajouter des crochets avec des \u00e9tiquettes de p-value personnalis\u00e9es \u00e0 un ggplot<\/li>\n<\/ul>\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=\"#ajouter-les-p-values-calcul\u00e9es-ailleurs\">Ajouter les p-values calcul\u00e9es ailleurs<\/a><\/li>\n<li><a href=\"#ajouter-les-p-values-obtenues-\u00e0-partir-du-package-rstatix\">Ajouter les p-values obtenues \u00e0 partir du package rstatix<\/a>\n<ul>\n<li><a href=\"#cr\u00e9er-un-box-plot-simple\">Cr\u00e9er un box plot simple<\/a><\/li>\n<li><a href=\"#comparaisons-par-paires\">Comparaisons par paires<\/a><\/li>\n<li><a href=\"#graphiques-\u00e0-facettes\">Graphiques \u00e0 facettes<\/a><\/li>\n<li><a href=\"#plots-group\u00e9s\">Plots group\u00e9s<\/a><\/li>\n<li><a href=\"#pr\u00e9ciser-manuellement-la-position-y-des-p-values\">Pr\u00e9ciser manuellement la position y des p-values<\/a><\/li>\n<\/ul>\n<\/li>\n<li><a href=\"#ajouter-des-crochets-avec-des-\u00e9tiquettes-de-p-value-personnalis\u00e9es-\u00e0-un-ggplot\">Ajouter des crochets avec des \u00e9tiquettes de p-value personnalis\u00e9es \u00e0 un ggplot<\/a>\n<ul>\n<li><a href=\"#crochets-de-base-avec-\u00e9tiquettes\">Crochets de base avec \u00e9tiquettes<\/a><\/li>\n<li><a href=\"#utilisation-de-lexpression-plotmath-et-sp\u00e9cification-manuelle-de-plusieurs-crochets\">Utilisation de l\u2019expression \u201cplotmath\u201d et sp\u00e9cification manuelle de plusieurs crochets<\/a><\/li>\n<li><a href=\"#calculer-des-tests-statistiques-et-ajouter-des-p-values\">Calculer des tests statistiques et ajouter des p-values<\/a><\/li>\n<\/ul>\n<\/li>\n<li><a href=\"#conclusions\">Conclusions<\/a><\/li>\n<\/ul>\n<\/div>\n<div id=\"pr\u00e9requis\" class=\"section level2\">\n<h2>Pr\u00e9requis<\/h2>\n<p>Assurez-vous d\u2019avoir les paquets R suivants:<\/p>\n<ul>\n<li><code>tidyverse<\/code> pour la manipulation et la visualisation des donn\u00e9es<\/li>\n<li><code>ggpubr<\/code> pour cr\u00e9er facilement des graphiques pr\u00eats \u00e0 la publication<\/li>\n<li><code>rstatix<\/code> contient des fonctions R facilitant les analyses statistiques<\/li>\n<\/ul>\n<p>Charger les packages R requis:<\/p>\n<pre class=\"r\"><code>library(tidyverse)\r\nlibrary(ggpubr)\r\nlibrary(rstatix)<\/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># Convertir la variable `dose` en facteur\r\ndf &lt;- ToothGrowth\r\ndf$dose &lt;- factor(df$dose)\r\n\r\n# Inspecter les donn\u00e9es \r\n# Afficher deux lignes al\u00e9atoires par groupes\r\nset.seed(123)\r\ndf %&gt;% sample_n_by(dose, size = 2)<\/code><\/pre>\n<pre><code>## # A tibble: 6 x 3\r\n##     len supp  dose \r\n##   &lt;dbl&gt; &lt;fct&gt; &lt;fct&gt;\r\n## 1  10   VC    0.5  \r\n## 2  14.5 OJ    0.5  \r\n## 3  18.8 VC    1    \r\n## 4  25.8 OJ    1    \r\n## 5  29.4 OJ    2    \r\n## 6  23.6 VC    2<\/code><\/pre>\n<\/div>\n<div id=\"ajouter-les-p-values-calcul\u00e9es-ailleurs\" class=\"section level2\">\n<h2>Ajouter les p-values calcul\u00e9es ailleurs<\/h2>\n<p>Fonction R cl\u00e9 : <code>stat_pvalue_manual()<\/code> [dans le package ggpubr]<\/p>\n<pre class=\"r\"><code>stat_pvalue_manual(data, label = NULL)<\/code><\/pre>\n<ul>\n<li><code>data<\/code>: un tableau de donn\u00e9es contenant des r\u00e9sultats de tests statistiques. Le format par d\u00e9faut attendu doit contenir les colonnes suivantes: <code>group1 | group2 | p | y.position | etc<\/code>. <code>group1<\/code> et <code>group2<\/code> sont les groupes qui ont \u00e9t\u00e9 compar\u00e9s. <code>p<\/code> est la p-value r\u00e9sultante. <code>y.position<\/code> est la coordonn\u00e9e y des p-values dans le graphique.<\/li>\n<li><code>label<\/code>: la colonne contenant l\u2019\u00e9tiquette (par exemple : <code>label = \"p\"<\/code> ou <code>label = \"p.adj\"<\/code>), o\u00f9 p est la p-value. Peut \u00e9galement \u00eatre une expression qui peut \u00eatre format\u00e9e par le package <code>glue<\/code>. Par exemple, lorsque l\u2019on sp\u00e9cifie <code>label = \"t-test, p = {p}\"<\/code>, l\u2019expression <code>{p}<\/code> sera remplac\u00e9e par sa valeur.<\/li>\n<\/ul>\n<pre class=\"r\"><code># p-values\r\nstat.test &lt;- tibble::tribble(\r\n  ~group1, ~group2,   ~p.adj,\r\n    \"0.5\",     \"1\", 2.54e-07,\r\n    \"0.5\",     \"2\", 1.32e-13,\r\n      \"1\",     \"2\", 1.91e-05\r\n  )\r\nstat.test<\/code><\/pre>\n<pre><code>## # A tibble: 3 x 3\r\n##   group1 group2    p.adj\r\n##   &lt;chr&gt;  &lt;chr&gt;     &lt;dbl&gt;\r\n## 1 0.5    1      2.54e- 7\r\n## 2 0.5    2      1.32e-13\r\n## 3 1      2      1.91e- 5<\/code><\/pre>\n<pre class=\"r\"><code># Box plots + p-values\r\nggboxplot(df, x = \"dose\", y = \"len\") +\r\n  stat_pvalue_manual(\r\n    stat.test, \r\n    y.position = 35, step.increase = 0.1,\r\n    label = \"p.adj\"\r\n    )<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-custom-p-values-1.png\" width=\"480\" \/><\/p>\n<\/div>\n<div id=\"ajouter-les-p-values-obtenues-\u00e0-partir-du-package-rstatix\" class=\"section level2\">\n<h2>Ajouter les p-values obtenues \u00e0 partir du package rstatix<\/h2>\n<div id=\"cr\u00e9er-un-box-plot-simple\" class=\"section level3\">\n<h3>Cr\u00e9er un box plot simple<\/h3>\n<pre class=\"r\"><code>bxp &lt;- ggboxplot(df, x = \"dose\", y = \"len\")\r\nbxp<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-box-plot-1.png\" width=\"432\" \/><\/p>\n<\/div>\n<div id=\"comparaisons-par-paires\" class=\"section level3\">\n<h3>Comparaisons par paires<\/h3>\n<pre class=\"r\"><code># Test statistique\r\nstat.test &lt;- df %&gt;% t_test(len ~ dose)\r\nstat.test<\/code><\/pre>\n<pre><code>## # A tibble: 3 x 10\r\n##   .y.   group1 group2    n1    n2 statistic    df        p    p.adj p.adj.signif\r\n## * &lt;chr&gt; &lt;chr&gt;  &lt;chr&gt;  &lt;int&gt; &lt;int&gt;     &lt;dbl&gt; &lt;dbl&gt;    &lt;dbl&gt;    &lt;dbl&gt; &lt;chr&gt;       \r\n## 1 len   0.5    1         20    20     -6.48  38.0 1.27e- 7 2.54e- 7 ****        \r\n## 2 len   0.5    2         20    20    -11.8   36.9 4.40e-14 1.32e-13 ****        \r\n## 3 len   1      2         20    20     -4.90  37.1 1.91e- 5 1.91e- 5 ****<\/code><\/pre>\n<pre class=\"r\"><code># Box plot\r\nstat.test &lt;- stat.test %&gt;% add_xy_position(x = \"dose\")\r\nbxp + stat_pvalue_manual(stat.test, label = \"p.adj.signif\", tip.length = 0.01)<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-simple-pairwise-comparisons-1.png\" width=\"480\" \/><\/p>\n<\/div>\n<div id=\"graphiques-\u00e0-facettes\" class=\"section level3\">\n<h3>Graphiques \u00e0 facettes<\/h3>\n<pre class=\"r\"><code># Tests statistiques\r\nstat.test &lt;- df %&gt;%\r\n  group_by(supp) %&gt;%\r\n  t_test(len ~ dose, ref.group = \"0.5\")\r\nstat.test<\/code><\/pre>\n<pre><code>## # A tibble: 4 x 11\r\n##   supp  .y.   group1 group2    n1    n2 statistic    df            p        p.adj p.adj.signif\r\n## * &lt;fct&gt; &lt;chr&gt; &lt;chr&gt;  &lt;chr&gt;  &lt;int&gt; &lt;int&gt;     &lt;dbl&gt; &lt;dbl&gt;        &lt;dbl&gt;        &lt;dbl&gt; &lt;chr&gt;       \r\n## 1 OJ    len   0.5    1         10    10     -5.05  17.7 0.0000878    0.0000878    ****        \r\n## 2 OJ    len   0.5    2         10    10     -7.82  14.7 0.00000132   0.00000264   ****        \r\n## 3 VC    len   0.5    1         10    10     -7.46  17.9 0.000000681  0.000000681  ****        \r\n## 4 VC    len   0.5    2         10    10    -10.4   14.3 0.0000000468 0.0000000936 ****<\/code><\/pre>\n<pre class=\"r\"><code># Box plots\r\nstat.test &lt;- stat.test %&gt;% add_xy_position(x = \"dose\")\r\nggboxplot(df, x = \"dose\", y = \"len\", facet.by = \"supp\") +\r\n  stat_pvalue_manual(stat.test, label = \"p.adj.signif\", tip.length = 0.01)<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-faceted-plots-1.png\" width=\"576\" \/><\/p>\n<\/div>\n<div id=\"plots-group\u00e9s\" class=\"section level3\">\n<h3>Plots group\u00e9s<\/h3>\n<pre class=\"r\"><code># Box plot : comparaison par rapport \u00e0 la r\u00e9f\u00e9rence\r\nstat.test &lt;- df %&gt;%\r\n  group_by(supp) %&gt;%\r\n  t_test(len ~ dose, ref.group = \"0.5\") \r\n\r\n# Box plots\r\nstat.test &lt;- stat.test %&gt;% \r\n  add_xy_position(x = \"supp\", dodge = 0.8)\r\nbxp &lt;- ggboxplot(df, x = \"supp\", y = \"len\", color = \"dose\")\r\nbxp + stat_pvalue_manual(stat.test,   label = \"p.adj\", tip.length = 0.01)<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-grouped-plots-three-groups-1.png\" width=\"576\" \/><\/p>\n<\/div>\n<div id=\"pr\u00e9ciser-manuellement-la-position-y-des-p-values\" class=\"section level3\">\n<h3>Pr\u00e9ciser manuellement la position y des p-values<\/h3>\n<p><strong>Cr\u00e9er un box plot simple<\/strong>:<\/p>\n<pre class=\"r\"><code># Test t par paire entre les groupes\r\nstat.test &lt;- ToothGrowth %&gt;%\r\n  t_test(len ~ dose) %&gt;%\r\n  mutate(y.position = c(29, 35, 39))\r\nstat.test<\/code><\/pre>\n<pre><code>## # A tibble: 3 x 11\r\n##   .y.   group1 group2    n1    n2 statistic    df        p    p.adj p.adj.signif y.position\r\n## * &lt;chr&gt; &lt;chr&gt;  &lt;chr&gt;  &lt;int&gt; &lt;int&gt;     &lt;dbl&gt; &lt;dbl&gt;    &lt;dbl&gt;    &lt;dbl&gt; &lt;chr&gt;             &lt;dbl&gt;\r\n## 1 len   0.5    1         20    20     -6.48  38.0 1.27e- 7 2.54e- 7 ****                 29\r\n## 2 len   0.5    2         20    20    -11.8   36.9 4.40e-14 1.32e-13 ****                 35\r\n## 3 len   1      2         20    20     -4.90  37.1 1.91e- 5 1.91e- 5 ****                 39<\/code><\/pre>\n<pre class=\"r\"><code># Cr\u00e9er un box plot et ajouter la p-value\r\nggboxplot(ToothGrowth, x = \"dose\", y = \"len\") +\r\n  stat_pvalue_manual(stat.test, label = \"p.adj\")<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-add-custom-pvalues-1.png\" width=\"480\" \/><\/p>\n<p><strong>Graphiques \u00e0 facettes<\/strong> : Comparaisons entre deux groupes<\/p>\n<pre class=\"r\"><code># Test t par paire entre les groupes\r\nstat.test &lt;- df %&gt;%\r\n  group_by(dose) %&gt;%\r\n  t_test(len ~ supp) %&gt;%\r\n  adjust_pvalue() %&gt;%\r\n  mutate(y.position = 35)\r\nstat.test<\/code><\/pre>\n<pre><code>## # A tibble: 3 x 11\r\n##   dose  .y.   group1 group2    n1    n2 statistic    df       p   p.adj y.position\r\n## * &lt;fct&gt; &lt;chr&gt; &lt;chr&gt;  &lt;chr&gt;  &lt;int&gt; &lt;int&gt;     &lt;dbl&gt; &lt;dbl&gt;   &lt;dbl&gt;   &lt;dbl&gt;      &lt;dbl&gt;\r\n## 1 0.5   len   OJ     VC        10    10    3.17    15.0 0.00636 0.0127          35\r\n## 2 1     len   OJ     VC        10    10    4.03    15.4 0.00104 0.00312         35\r\n## 3 2     len   OJ     VC        10    10   -0.0461  14.0 0.964   0.964           35<\/code><\/pre>\n<pre class=\"r\"><code># Cr\u00e9er un box plot et ajouter la p-value\r\np &lt;- ggboxplot(\r\n  df, x = \"supp\", y = \"len\",\r\n   color = \"supp\", palette = \"jco\",\r\n  facet.by = \"dose\", ylim = c(0, 40)\r\n  )\r\n\r\np + stat_pvalue_manual(stat.test, label = \"p.adj\")<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-facet-comparisons-between-two-groups-1.png\" width=\"576\" \/><\/p>\n<p><strong>Graphiques \u00e0 facettes<\/strong> : Comparaisons par paires entre plusieurs groupes<\/p>\n<pre class=\"r\"><code># Test t par paire entre les groupes\r\nstat.test &lt;- df %&gt;%\r\n  group_by(supp) %&gt;%\r\n  t_test(len ~ dose) %&gt;%\r\n  adjust_pvalue() %&gt;%\r\n  mutate(y.position = rep(c(29, 35, 39), 2))\r\nstat.test<\/code><\/pre>\n<pre><code>## # A tibble: 6 x 12\r\n##   supp  .y.   group1 group2    n1    n2 statistic    df            p       p.adj p.adj.signif y.position\r\n## * &lt;fct&gt; &lt;chr&gt; &lt;chr&gt;  &lt;chr&gt;  &lt;int&gt; &lt;int&gt;     &lt;dbl&gt; &lt;dbl&gt;        &lt;dbl&gt;       &lt;dbl&gt; &lt;chr&gt;             &lt;dbl&gt;\r\n## 1 OJ    len   0.5    1         10    10     -5.05  17.7 0.0000878    0.000263    ***                  29\r\n## 2 OJ    len   0.5    2         10    10     -7.82  14.7 0.00000132   0.00000528  ****                 35\r\n## 3 OJ    len   1      2         10    10     -2.25  15.8 0.039        0.039       *                    39\r\n## 4 VC    len   0.5    1         10    10     -7.46  17.9 0.000000681  0.00000340  ****                 29\r\n## 5 VC    len   0.5    2         10    10    -10.4   14.3 0.0000000468 0.000000281 ****                 35\r\n## 6 VC    len   1      2         10    10     -5.47  13.6 0.0000916    0.000263    ****                 39<\/code><\/pre>\n<pre class=\"r\"><code># Cr\u00e9er un box plot et ajouter la p-value\r\np &lt;- ggboxplot(\r\n  df, x = \"dose\", y = \"len\",\r\n   color = \"supp\", palette = \"jco\",\r\n  facet.by = \"supp\", ylim = c(0, 40)\r\n  )\r\n\r\np + stat_pvalue_manual(stat.test)<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-facet-pairwise-comparisons-between-mumtiple-groups-1.png\" width=\"576\" \/><\/p>\n<p><strong>Plots group\u00e9s<\/strong><\/p>\n<pre class=\"r\"><code># Test t par paire entre les groupes\r\nstat.test &lt;- df %&gt;%\r\n  group_by(dose) %&gt;%\r\n  t_test(len ~ supp) %&gt;%\r\n  adjust_pvalue() %&gt;%\r\n  mutate(y.position = 35)\r\nstat.test<\/code><\/pre>\n<pre><code>## # A tibble: 3 x 11\r\n##   dose  .y.   group1 group2    n1    n2 statistic    df       p   p.adj y.position\r\n## * &lt;fct&gt; &lt;chr&gt; &lt;chr&gt;  &lt;chr&gt;  &lt;int&gt; &lt;int&gt;     &lt;dbl&gt; &lt;dbl&gt;   &lt;dbl&gt;   &lt;dbl&gt;      &lt;dbl&gt;\r\n## 1 0.5   len   OJ     VC        10    10    3.17    15.0 0.00636 0.0127          35\r\n## 2 1     len   OJ     VC        10    10    4.03    15.4 0.00104 0.00312         35\r\n## 3 2     len   OJ     VC        10    10   -0.0461  14.0 0.964   0.964           35<\/code><\/pre>\n<pre class=\"r\"><code># Cr\u00e9er un box plot et ajouter la p-value\r\np &lt;- ggboxplot(\r\n  ToothGrowth, x = \"dose\", y = \"len\",\r\n   color = \"supp\", palette = \"jco\",\r\n   ylim = c(0, 40)\r\n  )\r\n\r\np + stat_pvalue_manual(stat.test, xmin = \"dose\", xmax = NULL)<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-grouped-boxplot-1.png\" width=\"576\" \/><\/p>\n<\/div>\n<\/div>\n<div id=\"ajouter-des-crochets-avec-des-\u00e9tiquettes-de-p-value-personnalis\u00e9es-\u00e0-un-ggplot\" class=\"section level2\">\n<h2>Ajouter des crochets avec des \u00e9tiquettes de p-value personnalis\u00e9es \u00e0 un ggplot<\/h2>\n<p>Cette section d\u00e9crit la fonction <code>geom_bracket()<\/code> [dans le package ggpubr] pour ajouter des crochets avec annotations dans un graphique ggplot. Il permet d\u2019ajouter facilement \u00e0 un graphique des p-values ou des niveaux de significativit\u00e9s statistiques cr\u00e9\u00e9s ailleurs.<\/p>\n<div id=\"crochets-de-base-avec-\u00e9tiquettes\" class=\"section level3\">\n<h3>Crochets de base avec \u00e9tiquettes<\/h3>\n<pre class=\"r\"><code># Ajouter un crochet avec des \u00e9tiquettes\r\nggboxplot(df, x = \"dose\", y = \"len\") +\r\n  geom_bracket(\r\n    xmin = \"0.5\", xmax = \"1\", y.position = 30,\r\n    label = \"t-test, p &lt; 0.05\"\r\n  )\r\n\r\n# Personnalisation de la longueur du crochet avec l'option tip.length\r\n# Remonter l'\u00e9tiquette en utilisant vjust\r\nggboxplot(df, x = \"dose\", y = \"len\") +\r\n  geom_bracket(\r\n    xmin = \"0.5\", xmax = \"1\", y.position = 30,\r\n    label = \"t-test, p &lt; 0.05\", \r\n    tip.length = c(0.2, 0.02), vjust = -1\r\n  )<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-add-brackets-with-labels-to-a-ggplot-1.png\" width=\"307.2\" \/><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-add-brackets-with-labels-to-a-ggplot-2.png\" width=\"307.2\" \/><\/p>\n<\/div>\n<div id=\"utilisation-de-lexpression-plotmath-et-sp\u00e9cification-manuelle-de-plusieurs-crochets\" class=\"section level3\">\n<h3>Utilisation de l\u2019expression \u201cplotmath\u201d et sp\u00e9cification manuelle de plusieurs crochets<\/h3>\n<pre class=\"r\"><code>#Utilisation de l'expression plotmath\r\nggboxplot(df, x = \"dose\", y = \"len\") +\r\n geom_bracket(\r\n   xmin = \"0.5\", xmax = \"1\", y.position = 30,\r\n   label = \"list(~italic(p)&lt;=0.001)\", type = \"expression\",\r\n   tip.length = c(0.2, 0.02)\r\n )\r\n\r\n\r\n# Sp\u00e9cifiez manuellement les crochets multiples\r\nggboxplot(df, x = \"dose\", y = \"len\") +\r\n  geom_bracket(\r\n    xmin = c(\"0.5\", \"1\"), xmax = c(\"1\", \"2\"),\r\n    y.position = c(30, 35), label = c(\"***\", \"**\"),\r\n    tip.length = 0.01\r\n  )<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-using-plotmath-expression-and-multiple-brackets-1.png\" width=\"307.2\" \/><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-using-plotmath-expression-and-multiple-brackets-2.png\" width=\"307.2\" \/><\/p>\n<\/div>\n<div id=\"calculer-des-tests-statistiques-et-ajouter-des-p-values\" class=\"section level3\">\n<h3>Calculer des tests statistiques et ajouter des p-values<\/h3>\n<pre class=\"r\"><code># Calculer des tests statistiques et ajouter des p-values\r\nstat.test &lt;- compare_means(len ~ dose, ToothGrowth, method = \"t.test\")\r\nggboxplot(df, x = \"dose\", y = \"len\") +\r\n  geom_bracket(\r\n    aes(xmin = group1, xmax = group2, label = signif(p, 2)),\r\n    data = stat.test, y.position = 35\r\n  )<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-compute-statistical-testand-add-p-values-1.png\" width=\"480\" \/><\/p>\n<pre class=\"r\"><code># Augmenter la longueur des pas entre les crochets\r\nggboxplot(df, x = \"dose\", y = \"len\") +\r\n  geom_bracket(\r\n    aes(xmin = group1, xmax = group2, label = signif(p, 2)),\r\n    data = stat.test, y.position = 35, step.increase = 0.1\r\n  )<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-compute-statistical-testand-add-p-values-2.png\" width=\"480\" \/><\/p>\n<pre class=\"r\"><code># Ou pr\u00e9ciser les positions de chaque comparaison\r\nggboxplot(df, x = \"dose\", y = \"len\") +\r\n  geom_bracket(\r\n    aes(xmin = group1, xmax = group2, label = signif(p, 2)),\r\n    data = stat.test, y.position = c(32, 35, 38)\r\n   )<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggpubr\/figures\/054-add-p-values-generated-elsewhere-compute-statistical-testand-add-p-values-3.png\" width=\"480\" \/><\/p>\n<\/div>\n<\/div>\n<div id=\"conclusions\" class=\"section level2\">\n<h2>Conclusions<\/h2>\n<p>Cet article d\u00e9crit comment <strong>ajouter des p-values g\u00e9n\u00e9r\u00e9es ailleurs \u00e0 un ggplot<\/strong> en utilisant le package ggpubr.<\/p>\n<\/div>\n<\/div>\n<p><!--end rdoc--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cet article d\u00e9crit comment ajouter des p-values g\u00e9n\u00e9r\u00e9es ailleurs \u00e0 un ggplot en utilisant le package ggpubr. Les fonctions cl\u00e9s suivantes de ggpubr seront utilis\u00e9es: stat_pvalue_manual(): Ajouter manuellement des p-values [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":16064,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rating_form_position":"","rating_results_position":"","mr_structured_data_type":"","footnotes":""},"categories":[342],"tags":[350],"class_list":["post-16070","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-faq-fr","tag-ggpubr-fr"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>GGPUBR : Comment Ajouter des P-Values G\u00e9n\u00e9r\u00e9es Ailleurs \u00e0 un GGPLOT - 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\/ggpubr-comment-ajouter-des-p-values-generees-ailleurs-a-un-ggplot\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GGPUBR : Comment Ajouter des P-Values G\u00e9n\u00e9r\u00e9es Ailleurs \u00e0 un GGPLOT - Datanovia\" \/>\n<meta property=\"og:description\" content=\"Cet article d\u00e9crit comment ajouter des p-values g\u00e9n\u00e9r\u00e9es ailleurs \u00e0 un ggplot en utilisant le package ggpubr. 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