{"id":1178,"date":"2012-01-05T17:36:56","date_gmt":"2012-01-05T16:36:56","guid":{"rendered":"https:\/\/abcdr.guyader.pro\/?p=1178"},"modified":"2018-04-08T00:00:37","modified_gmt":"2018-04-07T23:00:37","slug":"comment-realiser-un-tirage-aleatoire-avec-r-sample","status":"publish","type":"post","link":"https:\/\/thinkr.fr\/abcdr\/comment-realiser-un-tirage-aleatoire-avec-r-sample\/","title":{"rendered":"Comment r\u00e9aliser un tirage al\u00e9atoire avec R? sample"},"content":{"rendered":"<p>La fonction <strong>sample<\/strong> permet de tirer, avec ou sans remise, un certain nombre d&rsquo;\u00e9l\u00e9ments dans un vecteur.<\/p>\n<pre><code><br \/> sample(1:10,1) # on tire une valeur au hasard entre 1 et 10<br \/> sample(1:10,3) # on en tire 3<br \/> sample(1:10,10)# on en tire 10.. en pratique on m\u00e9lange les 10 \u00e9l\u00e9ments\u00a0<br \/><br \/><br \/>sample(1:10,3,replace = T)# on en tire 3 parmi 10.. avec remise ( on peut tr\u00e8s bien avoir c(7,7,2) )<br \/><br \/><\/code><\/pre>\n<p>On peut aussi noter le param\u00e8tre <strong>prob<\/strong>\u00a0qui permet de d\u00e9finir la probabilit\u00e9 de chaque \u00e9l\u00e9ment d&rsquo;\u00eatre tir\u00e9 au hasard.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>La fonction sample permet de tirer, avec ou sans remise, un certain nombre d&rsquo;\u00e9l\u00e9ments dans un vecteur. sample(1:10,1) # on tire une valeur au hasard entre 1 et 10 sample(1:10,3) # on en tire 3 sample(1:10,10)# on en tire 10.. en pratique on m\u00e9lange les 10 \u00e9l\u00e9ments\u00a0sample(1:10,3,replace = T)# on en tire 3 parmi 10.. avec remise ( on peut tr\u00e8s bien avoir c(7,7,2) ) On peut aussi noter le param\u00e8tre prob\u00a0qui permet de d\u00e9finir la probabilit\u00e9 de chaque \u00e9l\u00e9ment d&rsquo;\u00eatre tir\u00e9 au hasard.<a class=\"more-link\" href=\"https:\/\/thinkr.fr\/abcdr\/comment-realiser-un-tirage-aleatoire-avec-r-sample\/\">Read More &rarr;<\/a><\/p>\n","protected":false},"author":2,"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-vincent","4":"post-1178","6":"format-standard","7":"category-fonctions-utiles"},"acf":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p9O7Sx-j0","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/1178","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/comments?post=1178"}],"version-history":[{"count":2,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/1178\/revisions"}],"predecessor-version":[{"id":4199,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/1178\/revisions\/4199"}],"wp:attachment":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/media?parent=1178"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/categories?post=1178"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/tags?post=1178"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}