<\/p>\n
R’de gruba g\u00f6re bir frekans tablosu olu\u015fturmak i\u00e7in dplyr<\/a> paketindeki a\u015fa\u011f\u0131daki i\u015flevleri kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Diyelim ki her pozisyonun s\u0131kl\u0131\u011f\u0131n\u0131 tak\u0131ma g\u00f6re grupland\u0131rarak g\u00f6steren bir frekans tablosu olu\u015fturmak istiyoruz.<\/span><\/p>\n Bunu yapmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Sonucun nas\u0131l yorumlanaca\u011f\u0131 a\u015fa\u011f\u0131da a\u00e7\u0131klanm\u0131\u015ft\u0131r:<\/span><\/p>\n Summary()<\/strong> i\u015flevindeki de\u011fi\u015fken ad\u0131n\u0131 de\u011fi\u015ftirerek frekanslar\u0131 i\u00e7eren s\u00fctunu yeniden adland\u0131rabilece\u011fimizi unutmay\u0131n.<\/span><\/p>\n \u00d6rne\u011fin, bunun yerine “count” s\u00fctununu yeniden adland\u0131rabiliriz:<\/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 kullan\u0131larak g\u00f6receli frekanslar nas\u0131l hesaplan\u0131r?<\/a> R’de gruba g\u00f6re bir frekans tablosu olu\u015fturmak i\u00e7in dplyr paketindeki a\u015fa\u011f\u0131daki i\u015flevleri kullanabilirsiniz: library (dplyr) df %>% group_by (var1, var2) %>% summarize (Freq=n()) A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek: Gruba g\u00f6re s\u0131kl\u0131k tablosu olu\u015fturma R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m: #create data frame df <- data. frame (team=c(‘A’, ‘A’, ‘A’, ‘A’, […]<\/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-2123","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n library<\/span> (dplyr)<\/span>\n\n<\/span>df %>%\n group_by<\/span> (var1, var2) %>%\n summarize<\/span> (Freq=n())\n<\/strong><\/pre>\n \u00d6rnek: Gruba g\u00f6re s\u0131kl\u0131k tablosu olu\u015fturma<\/strong><\/span><\/h3>\n
#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'),\n position=c('G', 'G', 'G', 'F', 'G', 'F', 'F', 'C'))\n\n#view data frame\n<\/span>df\n\n team position\n1 AG\n2 AG\n3 AG\n4 AF\n5 BG\n6 BF\n7 BF\n8 BC<\/strong><\/span><\/pre>\n library<\/span> (dplyr)<\/span>\n\n#calculate frequency of position, grouped by team\ndf %>%<\/span>\ngroup_by<\/span> (team, position) %>%<\/span>\nsummarize<\/span> (Freq=n())\n<\/span><\/span>\n# A tibble: 5 x 3\n# Groups: team [2]\n team position Freq\n \n1 AF 1\n2 AG 3\n3 BC 1\n4 BF 2\n5 BG 1\n<\/strong><\/span><\/pre>\n\n
library<\/span> (dplyr)\n\n#calculate frequency of position, grouped by team<\/span>\ndf %>%\n group_by<\/span> (team, position) %>%\n summarize<\/span> (count=n())\n<\/span>\n# A tibble: 5 x 3\n# Groups: team [2]\n team position count\n \n1 AF 1\n2 AG 3\n3 BC 1\n4 BF 2\n5 BG 1<\/strong><\/span><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Dplyr kullanarak de\u011fi\u015fkenleri gruba g\u00f6re s\u0131ralama<\/a>
Dplyr kullanarak dizine g\u00f6re s\u00fctunlar nas\u0131l se\u00e7ilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"