{"id":801,"date":"2011-11-16T10:18:33","date_gmt":"2011-11-16T09:18:33","guid":{"rendered":"https:\/\/abcdr.guyader.pro\/?p=801"},"modified":"2018-04-07T23:59:50","modified_gmt":"2018-04-07T22:59:50","slug":"comment-enlever-les-etoiles-mises-par-defaut-dans-les-resultats-de-p-value","status":"publish","type":"post","link":"https:\/\/thinkr.fr\/abcdr\/comment-enlever-les-etoiles-mises-par-defaut-dans-les-resultats-de-p-value\/","title":{"rendered":"Comment enlever les \u00e9toiles mises par d\u00e9faut dans les r\u00e9sultats de p value?"},"content":{"rendered":"<p>Dans les r\u00e9sultats d&rsquo;analyse statistique, R affiche souvent des \u00e9toiles \u00e0 c\u00f4t\u00e9 des p values avec le code suivant :<\/p>\n<p>Signif. codes:\u00a0 0 \u2018<em><strong>\u2019 0.001 \u2018<\/strong>\u2019 0.01 \u2018<\/em>\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1 <\/p>\n<p> Il est possible de les enlever:<\/p>\n<pre><code><br \/><br \/>#on utilise les donn\u00e9es iris<br \/><br \/>iris<br \/>summary(iris)<br \/><br \/>#pour l'exemple on fait une analyse de variance : la longueur des s\u00e9pales est-elle expliqu\u00e9e par l'esp\u00e8ce?<br \/><br \/>reg&lt;-lm(iris$Sepal.Length~iris$Species)<br \/>anova(reg)<br \/>summary(reg)<br \/><br \/><br \/><\/code><\/pre>\n<p>R affiche les r\u00e9sultats avec les \u00e9toiles pour les p-values : <\/p>\n<p> Analysis of Variance Table<\/p>\n<p>Response: iris$Sepal.Length<br \/>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Df Sum Sq Mean Sq F value\u00a0\u00a0\u00a0 Pr(&gt;F)\u00a0\u00a0 \u00a0<br \/>iris$Species\u00a0\u00a0 2 63.212\u00a0 31.606\u00a0 119.26 &lt; 2.2e-16 ***<br \/>Residuals\u00a0\u00a0\u00a0 147 38.956\u00a0\u00a0 0.265\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/p>\n<p>On d\u00e9cide de les enlever en utilisant options : <\/p>\n<pre><code><br \/><br \/>options(show.signif.stars=FALSE)<br \/><br \/><br \/>summary(reg)<br \/>anova(reg)<br \/><br \/> <\/code><\/pre>\n<p>R affiche les r\u00e9sultats sans les \u00e9toiles : <\/p>\n<p> Response: iris$Sepal.Length<br \/>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Df Sum Sq Mean Sq F value\u00a0\u00a0\u00a0 Pr(&gt;F)<br \/>iris$Species\u00a0\u00a0 2 63.212\u00a0 31.606\u00a0 119.26 &lt; 2.2e-16<br \/>Residuals\u00a0\u00a0\u00a0 147 38.956\u00a0\u00a0 0.265\u00a0\u00a0\u00a0\u00a0\u00a0 <\/p>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dans les r\u00e9sultats d&rsquo;analyse statistique, R affiche souvent des \u00e9toiles \u00e0 c\u00f4t\u00e9 des p values avec le code suivant : Signif. codes:\u00a0 0 \u2018\u2019 0.001 \u2018\u2019 0.01 \u2018\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1 Il est possible de les enlever: #on utilise les donn\u00e9es irisirissummary(iris)#pour l&rsquo;exemple on fait une analyse de variance : la longueur des s\u00e9pales est-elle expliqu\u00e9e par l&rsquo;esp\u00e8ce?reg&lt;-lm(iris$Sepal.Length~iris$Species)anova(reg)summary(reg) R affiche les r\u00e9sultats avec les \u00e9toiles pour les p-values : Analysis of Variance Table Response: iris$Sepal.Length\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Df Sum Sq Mean Sq F value\u00a0\u00a0\u00a0 Pr(&gt;F)\u00a0\u00a0 \u00a0iris$Species\u00a0\u00a0 2 63.212\u00a0 31.606\u00a0 119.26 &lt; 2.2e-16 ***Residuals\u00a0\u00a0\u00a0 147 38.956\u00a0\u00a0 0.265\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 On d\u00e9cide de les enlever en utilisant options<a class=\"more-link\" href=\"https:\/\/thinkr.fr\/abcdr\/comment-enlever-les-etoiles-mises-par-defaut-dans-les-resultats-de-p-value\/\">Read More &rarr;<\/a><\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":{"twitter_399453572_399453572":""},"rop_publish_now_history":[],"rop_publish_now_status":"pending","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[6,19],"tags":[],"class_list":{"0":"entry","1":"post","2":"publish","3":"author-melen","4":"post-801","6":"format-standard","7":"category-configuration-de-r","8":"category-regression-lineaire"},"acf":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p9O7Sx-cV","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/801","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/comments?post=801"}],"version-history":[{"count":2,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/801\/revisions"}],"predecessor-version":[{"id":4144,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/801\/revisions\/4144"}],"wp:attachment":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/media?parent=801"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/categories?post=801"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/tags?post=801"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}