<\/p>\n
R’de bir s\u00fctunu birden \u00e7ok s\u00fctuna b\u00f6lmek i\u00e7in iki y\u00f6ntemden birini kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: str_split_fixed() i\u015flevini kullan\u0131n<\/strong><\/span><\/p>\n Y\u00f6ntem 2: Ayr\u0131() kullan\u0131n<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n ‘Player’ s\u00fctununu ‘First’ ve ‘Last’ olarak adland\u0131r\u0131lan iki yeni s\u00fctuna b\u00f6lmek i\u00e7in stringr<\/strong> paketindeki str_split_fixed()<\/strong> fonksiyonunu kullanabiliriz:<\/span><\/p>\n Veri \u00e7er\u00e7evesinin sonuna iki yeni s\u00fctunun eklendi\u011fini unutmay\u0131n.<\/span><\/p>\n \u0130sterseniz s\u00fctunlar\u0131 yeniden d\u00fczenleyebilir ve orijinal “oyuncu” s\u00fctunlar\u0131n\u0131 kald\u0131rabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, “oyuncu” s\u00fctununu “ilk” ve “son” s\u00fctunlara ay\u0131rmak i\u00e7in Tidyr<\/strong> paketinin Different()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Different()<\/strong> i\u015flevinin dizeleri alfasay\u0131sal olmayan herhangi bir de\u011fere g\u00f6re ay\u0131raca\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n \u00d6rne\u011fin, ad ve soyad\u0131 virg\u00fclle ayr\u0131lm\u0131\u015fsa, Different()<\/strong> i\u015flevi virg\u00fcl\u00fcn konumuna g\u00f6re otomatik olarak b\u00f6l\u00fcn\u00fcr:<\/span><\/p>\n Different()<\/strong> i\u015flevine ili\u015fkin \u00e7evrimi\u00e7i belgelerin tamam\u0131n\u0131 burada<\/a> bulabilirsiniz.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de iki s\u00fctun bir s\u00fctunda nas\u0131l birle\u015ftirilir<\/a> R’de bir s\u00fctunu birden \u00e7ok s\u00fctuna b\u00f6lmek i\u00e7in iki y\u00f6ntemden birini kullanabilirsiniz: Y\u00f6ntem 1: str_split_fixed() i\u015flevini kullan\u0131n library (stringr) df[c(‘ col1 ‘, ‘ col2 ‘)] <- str_split_fixed(df$original_column, ‘ sep ‘, 2) Y\u00f6ntem 2: Ayr\u0131() kullan\u0131n library (dplyr) library (tidyr) df %>% separate(original_column, c(‘ col1 ‘, ‘ col2 ‘)) A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-2220","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n library<\/span> (stringr)\n\ndf[c(' col1<\/span> ', ' col2<\/span> ')] <- str_split_fixed(df$original_column, ' sep<\/span> ', 2)\n<\/strong><\/pre>\n library<\/span> (dplyr)\nlibrary<\/span> (tidyr)\n\ndf %>% separate(original_column, c(' col1<\/span> ', ' col2<\/span> '))\n<\/strong><\/pre>\n Y\u00f6ntem 1: str_split_fixed() i\u015flevini kullan\u0131n<\/strong><\/span><\/h3>\n
#create data frame<\/span>\ndf <- data. frame<\/span> (player=c('John_Wall', 'Dirk_Nowitzki', 'Steve_Nash'),\n dots=c(22, 29, 18),\n assists=c(8, 4, 15))\n\n#view data frame\n<\/span>df\n\n player points assists\n1 John_Wall 22 8\n2 Dirk_Nowitzki 29 4\n3 Steve_Nash 18 15<\/strong><\/span><\/pre>\n library<\/span> (stringr)<\/span>\n\n#split 'player' column using '_' as the separator<\/span>\ndf[c(' First<\/span> ', ' Last<\/span> ')] <- str_split_fixed(df$player, ' _<\/span> ', 2)\n\n#view updated data frame\n<\/span>df\n\n player points assists First Last\n1 John_Wall 22 8 John Wall\n2 Dirk_Nowitzki 29 4 Dirk Nowitzki\n3 Steve_Nash 18 15 Steve Nash<\/strong><\/span><\/pre>\n #rearrange columns and leave out original 'player' column\ndf_final <- df[c('First', 'Last', 'points', 'assists')]\n\n#view updated data frame<\/span>\ndf_final\n\n First Last points assists\n1 John Wall 22 8\n2 Dirk Nowitzki 29 4\n3 Steve Nash 18 15<\/span><\/span><\/strong><\/pre>\n Y\u00f6ntem 2: Ayr\u0131() kullan\u0131n<\/strong><\/span><\/h3>\n
library<\/span> (dplyr)<\/span>\nlibrary<\/span> (tidyr)<\/span>\n\n#create data frame<\/span>\ndf <- data. frame<\/span> (player=c('John_Wall', 'Dirk_Nowitzki', 'Steve_Nash'),\n dots=c(22, 29, 18),\n assists=c(8, 4, 15))\n\n#separate 'player' column into 'First' and 'Last'\n<\/span>df %>% separate(player, c(' First<\/span> ', ' Last<\/span> '))\n\n First Last points assists\n1 John Wall 22 8\n2 Dirk Nowitzki 29 4\n3 Steve Nash 18 15\n<\/strong><\/span><\/pre>\n library<\/span> (dplyr)\nlibrary<\/span> (tidyr)<\/span>\n\n#create data frame<\/span>\ndf <- data. frame<\/span> (player=c('John,Wall', 'Dirk,Nowitzki', 'Steve,Nash'),\n dots=c(22, 29, 18),\n assists=c(8, 4, 15))\n\n#separate 'player' column into 'First' and 'Last'\n<\/span>df %>% separate(player, c(' First<\/span> ', ' Last<\/span> '))\n\n First Last points assists\n1 John Wall 22 8\n2 Dirk Nowitzki 29 4\n3 Steve Nash 18 15<\/strong><\/span><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de bir veri \u00e7er\u00e7evesi s\u00fctuna g\u00f6re nas\u0131l s\u0131ralan\u0131r<\/a>
R’de veri \u00e7er\u00e7evesine s\u00fctunlar nas\u0131l eklenir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"