{"id":3442,"date":"2017-07-20T10:35:08","date_gmt":"2017-07-20T09:35:08","guid":{"rendered":"https:\/\/abcdr.guyader.pro\/?p=3442"},"modified":"2018-04-08T00:02:57","modified_gmt":"2018-04-07T23:02:57","slug":"comment-concatener-des-chaines-de-caracteres-str_c","status":"publish","type":"post","link":"https:\/\/thinkr.fr\/abcdr\/comment-concatener-des-chaines-de-caracteres-str_c\/","title":{"rendered":"Comment concat\u00e9ner des cha\u00eenes de caract\u00e8res ? str_c()"},"content":{"rendered":"<p>Amoureux du <code>paste<\/code> de R base ? <code>str_c<\/code> du package {stringr} va vous plaire !<\/p>\n<p>Pourquoi utiliser <code>str_c<\/code> ? Pour sa simplicit\u00e9, mais aussi sa puissance. La premi\u00e8re raison de choisir cette fonction : d\u00e9velopp\u00e9e dans {stringr}, elle suit la convention d&rsquo;\u00e9criture de toutes les fonctions de ce package. Ainsi, pour concat\u00e9ner des caract\u00e8res (strings en anglais), il vous suffira d&rsquo;appeler <code>str_c<\/code>.<\/p>\n<p>Comme avec la fonction de base, vous pouvez choisir le s\u00e9parateur :<\/p>\n<pre><code>\n  library(stringr)\n  str_c(\"une\", \"chaine\", \"de\", \"caract\u00e8res\", sep = \" \")\n  [1] \"une chaine de caract\u00e8res\"\n  str_c(\"une\", \"chaine\", \"de\", \"caract\u00e8res\", sep = \"_\")\n  [1] \"une_chaine_de_caract\u00e8res\"\n<\/code><\/pre>\n<p>\u00c0 noter : vous pouvez utiliser la fonction <code>str_replace_na<\/code>, pour remplacer les valeurs manquantes de la cha\u00eenes de caract\u00e8res par un \u00ab\u00a0NA\u00a0\u00bb.<\/p>\n<p>\u00c0 noter (bis) : pour concat\u00e9ner un vecteur de cha\u00eene de caract\u00e8res, il faudra faire appel \u00e0 l&rsquo;argument <code>collapse = \"\"<\/code>.<\/p>\n<pre><code>\n  chaine &lt;- c(&quot;une&quot;, &quot;chaine&quot;, &quot;de&quot;, &quot;caract\u00e8res&quot;, &quot;avec&quot;, NA)\n  chaine\n  [1] &quot;une&quot;        &quot;chaine&quot;     &quot;de&quot;         &quot;caract\u00e8res&quot;\n  [5] &quot;avec&quot;       NA\n  str_c(str_replace_na(chaine), collapse = &quot; &quot;)\n  [1] &quot;une chaine de caract\u00e8res avec NA&quot;\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Amoureux du paste de R base ? str_c du package {stringr} va vous plaire ! Pourquoi utiliser str_c ? Pour sa simplicit\u00e9, mais aussi sa puissance. La premi\u00e8re raison de choisir cette fonction : d\u00e9velopp\u00e9e dans {stringr}, elle suit la convention d&rsquo;\u00e9criture de toutes les fonctions de ce package. Ainsi, pour concat\u00e9ner des caract\u00e8res (strings en anglais), il vous suffira d&rsquo;appeler str_c. Comme avec la fonction de base, vous pouvez choisir le s\u00e9parateur : library(stringr) str_c(\u00ab\u00a0une\u00a0\u00bb, \u00ab\u00a0chaine\u00a0\u00bb, \u00ab\u00a0de\u00a0\u00bb, \u00ab\u00a0caract\u00e8res\u00a0\u00bb, sep = \u00a0\u00bb \u00ab\u00a0) [1] \u00ab\u00a0une chaine de caract\u00e8res\u00a0\u00bb str_c(\u00ab\u00a0une\u00a0\u00bb, \u00ab\u00a0chaine\u00a0\u00bb, \u00ab\u00a0de\u00a0\u00bb, \u00ab\u00a0caract\u00e8res\u00a0\u00bb, sep = \u00ab\u00a0_\u00a0\u00bb) [1] \u00ab\u00a0une_chaine_de_caract\u00e8res\u00a0\u00bb \u00c0 noter : vous pouvez utiliser la fonction<a class=\"more-link\" href=\"https:\/\/thinkr.fr\/abcdr\/comment-concatener-des-chaines-de-caracteres-str_c\/\">Read More &rarr;<\/a><\/p>\n","protected":false},"author":4,"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":[12,22],"tags":[],"class_list":{"0":"entry","1":"post","2":"publish","3":"author-colin","4":"post-3442","6":"format-standard","7":"category-manipulation-de-donnees","8":"category-tidyverse"},"acf":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p9O7Sx-Tw","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/3442","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\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/comments?post=3442"}],"version-history":[{"count":2,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/3442\/revisions"}],"predecessor-version":[{"id":4332,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/3442\/revisions\/4332"}],"wp:attachment":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/media?parent=3442"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/categories?post=3442"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/tags?post=3442"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}