{"id":3208,"date":"2015-08-06T10:39:00","date_gmt":"2015-08-06T09:39:00","guid":{"rendered":"https:\/\/abcdr.guyader.pro\/?p=3208"},"modified":"2018-04-08T00:02:26","modified_gmt":"2018-04-07T23:02:26","slug":"comment-analyser-les-residus-dune-regression-lineaire-simple-sur-r-rstudent","status":"publish","type":"post","link":"https:\/\/thinkr.fr\/abcdr\/comment-analyser-les-residus-dune-regression-lineaire-simple-sur-r-rstudent\/","title":{"rendered":"Comment analyser les r\u00e9sidus d\u2019une r\u00e9gression lin\u00e9aire simple sur R ? rstudent"},"content":{"rendered":"<p>Contrairement \u00e0 la fonction <b>residuals(),<\/b> la fonction <b>rstudent()<\/b> permet d\u2019obtenir des r\u00e9sidus de m\u00eame variance. Ce crit\u00e8re est n\u00e9cessaire pour pouvoir \u00e9tudier et comparer les r\u00e9sidus.<\/p>\n<pre><code><br \/>reg_simp &lt;- lm(Sepal.Length~Petal.Length, data=iris)\n\n#On r\u00e9alise une r\u00e9gr\u00e9ssion lin\u00e9aire\n\n\u00a0\n\nresidus=rstudent(reg_simp)\n\n#On calcule les residus\n\n\u00a0\n\nplot(residus, ylab=\"R\u00e9sidus\")\n\n#On represente les r\u00e9sidus dans un graphique\n\n\u00a0\n\nabline(h=c(-2,0,2), lty=c(2,1,2))\n\n#La fonction abline permet d'ajouter des droites d'ordonn\u00e9es -2, 0 et 2\n\n<\/code><\/pre>\n<p>En th\u00e9orie, 95% des r\u00e9sidus se trouvent dans l\u2019intervalle [-2,2]. C\u2019est le cas ici puisque seulement 4 individus sur 150 sont en dehors de cet intervalle. Les individus \u00e0 l\u2019ext\u00e9rieur de l\u2019intervalle sont des individus extr\u00eames.\u00a0<\/p>\n<p>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Contrairement \u00e0 la fonction residuals(), la fonction rstudent() permet d\u2019obtenir des r\u00e9sidus de m\u00eame variance. Ce crit\u00e8re est n\u00e9cessaire pour pouvoir \u00e9tudier et comparer les r\u00e9sidus. reg_simp &lt;- lm(Sepal.Length~Petal.Length, data=iris) #On r\u00e9alise une r\u00e9gr\u00e9ssion lin\u00e9aire \u00a0 residus=rstudent(reg_simp) #On calcule les residus \u00a0 plot(residus, ylab=\u00a0\u00bbR\u00e9sidus\u00a0\u00bb) #On represente les r\u00e9sidus dans un graphique \u00a0 abline(h=c(-2,0,2), lty=c(2,1,2)) #La fonction abline permet d&rsquo;ajouter des droites d&rsquo;ordonn\u00e9es -2, 0 et 2 En th\u00e9orie, 95% des r\u00e9sidus se trouvent dans l\u2019intervalle [-2,2]. C\u2019est le cas ici puisque seulement 4 individus sur 150 sont en dehors de cet intervalle. Les individus \u00e0 l\u2019ext\u00e9rieur de l\u2019intervalle sont des individus extr\u00eames.\u00a0 \u00a0<a class=\"more-link\" href=\"https:\/\/thinkr.fr\/abcdr\/comment-analyser-les-residus-dune-regression-lineaire-simple-sur-r-rstudent\/\">Read More &rarr;<\/a><\/p>\n","protected":false},"author":13,"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":[8],"tags":[],"class_list":{"0":"entry","1":"post","2":"publish","3":"author-helene","4":"post-3208","6":"format-standard","7":"category-fonctions-utiles"},"acf":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p9O7Sx-PK","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/3208","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\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/comments?post=3208"}],"version-history":[{"count":2,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/3208\/revisions"}],"predecessor-version":[{"id":4302,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/3208\/revisions\/4302"}],"wp:attachment":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/media?parent=3208"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/categories?post=3208"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/tags?post=3208"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}