<\/p>\n
Dplyr<\/strong> paketini kullanarak R’deki bir veri \u00e7er\u00e7evesinden birden fazla s\u00fctunu kald\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden herhangi birini kullanabilirsiniz:<\/span><\/p>\n 1. Birden fazla s\u00fctunu ada g\u00f6re kald\u0131r\u0131n<\/strong><\/span><\/p>\n 2. Aral\u0131ktaki t\u00fcm s\u00fctunlar\u0131 kald\u0131r\u0131n<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, bu y\u00f6ntemlerin her birinin pratikte a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesiyle nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, noktalar<\/strong> ve s\u0131\u00e7ramalar<\/strong> adl\u0131 s\u00fctunlar\u0131n veri \u00e7er\u00e7evesinden nas\u0131l kald\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Noktalar<\/strong> ve s\u0131\u00e7ramalar<\/strong> adl\u0131 s\u00fctunlar\u0131n her ikisinin de yeni veri \u00e7er\u00e7evesinden kald\u0131r\u0131ld\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, noktalar<\/strong> ve geri d\u00f6nen<\/strong> s\u00fctunlar aras\u0131ndaki t\u00fcm s\u00fctunlar\u0131n nas\u0131l kald\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Noktalar<\/strong> ve s\u0131\u00e7ramalar<\/strong> aras\u0131ndaki t\u00fcm s\u00fctunlar\u0131n yeni veri \u00e7er\u00e7evesinden kald\u0131r\u0131ld\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Not<\/strong> : R’deki MASS<\/strong> paketinin ayr\u0131ca bir select()<\/strong> i\u015flevi vard\u0131r. Bu paket de y\u00fckl\u00fcyse, R’nin dplyr<\/strong> paketinin select()<\/strong> i\u015flevini kullanaca\u011f\u0131n\u0131 bilmesi i\u00e7in dplyr::select()<\/strong> kullanman\u0131z gerekir.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde dplyr’de di\u011fer yayg\u0131n i\u015flevlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Dplyr kullanarak dizine g\u00f6re s\u00fctunlar nas\u0131l se\u00e7ilir<\/a> Dplyr paketini kullanarak R’deki bir veri \u00e7er\u00e7evesinden birden fazla s\u00fctunu kald\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden herhangi birini kullanabilirsiniz: 1. Birden fazla s\u00fctunu ada g\u00f6re kald\u0131r\u0131n df_new <- df %>% select(-c(col2, col4)) 2. Aral\u0131ktaki t\u00fcm s\u00fctunlar\u0131 kald\u0131r\u0131n df_new <- df %>% select(-c(col2:col4)) A\u015fa\u011f\u0131daki \u00f6rnekler, bu y\u00f6ntemlerin her birinin pratikte a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesiyle nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir: #create data […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3788","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df_new <- df %>% select(-c(col2, col4))<\/strong><\/pre>\n
df_new <- df %>% select(-c(col2:col4))<\/strong><\/pre>\n
#create data frame\n<\/span>df = data. frame<\/span> (rating = c(90, 85, 82, 88, 94, 90, 76, 75, 87, 86),\n points=c(25, 20, 14, 16, 27, 20, 12, 15, 14, 19),\n assists=c(5, 7, 7, 8, 5, 7, 6, 9, 9, 5),\n rebounds=c(11, 8, 10, 6, 6, 9, 6, 10, 10, 7))\n\n#view data frame\n<\/span>df\n\n rating points assists rebounds\n1 90 25 5 11\n2 85 20 7 8\n3 82 14 7 10\n4 88 16 8 6\n5 94 27 5 6\n6 90 20 7 9\n7 76 12 6 6\n8 75 15 9 10\n9 87 14 9 10\n10 86 19 5 7<\/span><\/strong><\/span><\/pre>\n \u00d6rnek 1: Birden fazla s\u00fctunu ada g\u00f6re kald\u0131r\u0131n<\/strong><\/span><\/h2>\n
library<\/span> (dplyr)<\/span>\n\n#drop points and rebounds columns\n<\/span>df_new <- df %>% select(-c(points, rebounds))\n\n#view new data frame<\/span>\nnew_df\n\n rating assists\n1 90 5\n2 85 7\n3 82 7\n4 88 8\n5 94 5\n6 90 7\n7 76 6\n8 75 9\n9 87 9\n10 86 5<\/strong><\/pre>\n \u00d6rnek 2: Aral\u0131ktaki t\u00fcm s\u00fctunlar\u0131 kald\u0131r\u0131n<\/strong><\/span><\/h2>\n
library<\/span> (dplyr)<\/span>\n\n#drop all columns between points and rebounds\n<\/span>df_new <- df %>% select(-c(points:rebounds))\n\n#view new data frame<\/span>\nnew_df\n\n rating\n1 90\n2 85\n3 82\n4 88\n5 94\n6 90\n7 76\n8 75\n9 87\n10 86<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Dplyr kullanarak birden \u00e7ok s\u00fctun nas\u0131l yeniden adland\u0131r\u0131l\u0131r<\/a>
Dplyr kullanarak bir s\u00fctundaki dize nas\u0131l de\u011fi\u015ftirilir?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"