<\/p>\n
R’de dplyr i\u015flevlerini kullanarak bir veri \u00e7er\u00e7evesinin her sat\u0131r\u0131na bir i\u015flev uygulamak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n Bu \u00f6zel \u00f6rnek, veri \u00e7er\u00e7evesindeki her sat\u0131r i\u00e7in col1<\/strong> , col2<\/strong> ve col3’\u00fcn<\/strong> ortalama de\u011ferini hesaplar, ancak Mean()<\/strong> i\u015flevini, kendisi i\u00e7in farkl\u0131 bir \u00f6l\u00e7\u00fcm hesaplamak istedi\u011finiz herhangi bir i\u015flevle de\u011fi\u015ftirebilirsiniz.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, farkl\u0131 basketbol oyuncular\u0131n\u0131n farkl\u0131 oyunlarda att\u0131\u011f\u0131 puanlar hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesiyle bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, veri \u00e7er\u00e7evesindeki her sat\u0131r i\u00e7in oyun1<\/b> ve oyun3<\/strong> s\u00fctunlar\u0131n\u0131n ortalama de\u011ferinin nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Sonu\u00e7tan \u015funlar\u0131 g\u00f6rebiliriz:<\/span><\/p>\n Ve benzeri.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, veri \u00e7er\u00e7evesindeki her sat\u0131r i\u00e7in game2<\/b> ve game3<\/strong> s\u00fctunlar\u0131n\u0131n maksimum de\u011ferinin nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Sonu\u00e7tan \u015funlar\u0131 g\u00f6rebiliriz:<\/span><\/p>\n Ve benzeri.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, veri \u00e7er\u00e7evesindeki her sat\u0131r i\u00e7in game2<\/b> ve game3<\/strong> s\u00fctunlar\u0131ndaki de\u011ferlerin standart sapmas\u0131n\u0131n nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Sonu\u00e7tan \u015funlar\u0131 g\u00f6rebiliriz:<\/span><\/p>\n Ve benzeri.<\/span><\/p>\n Not<\/strong> : Rowwise()<\/strong> i\u015flevinin tam belgelerini dplyr’de burada<\/a> bulabilirsiniz.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde dplyr kullan\u0131larak di\u011fer genel g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Dplyr kullanarak farkl\u0131 de\u011ferler nas\u0131l say\u0131l\u0131r?<\/a> R’de dplyr i\u015flevlerini kullanarak bir veri \u00e7er\u00e7evesinin her sat\u0131r\u0131na bir i\u015flev uygulamak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: df %>% rowwise() %>% mutate(mean_value = mean(c(col1, col2, col3), na. rm = TRUE )) Bu \u00f6zel \u00f6rnek, veri \u00e7er\u00e7evesindeki her sat\u0131r i\u00e7in col1 , col2 ve col3’\u00fcn ortalama de\u011ferini hesaplar, ancak Mean() i\u015flevini, kendisi i\u00e7in farkl\u0131 bir \u00f6l\u00e7\u00fcm […]<\/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-3284","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df %>%\n rowwise() %>% \n mutate(mean_value = mean(c(col1, col2, col3), na. rm<\/span> = TRUE<\/span> ))\n<\/strong><\/pre>\n #create data frame\n<\/span>df <- data. frame<\/span> (game1=c(22, 25, 29, 13, 22, 30),\n game2=c(12, 10, 6, 6, 8, 11),\n game3=c(NA, 15, 15, 18, 22, 13))\n\n#view data frame\n<\/span>df\n\n game1 game2 game3\n1 22 12 NA\n2 25 10 15\n3 29 6 15\n4 13 6 18\n5 22 8 22\n6 30 11 13\n<\/strong><\/pre>\n \u00d6rnek 1: Her sat\u0131rdaki belirli s\u00fctunlar\u0131n ortalamas\u0131<\/strong><\/span><\/h2>\n
library<\/span> (dplyr)\n\n#calculate mean of game1 and game3\ndf %>%\n rowwise() %>% \n mutate(mean_points = mean(c(game1, game3), na. rm<\/span> = TRUE<\/span> ))\n\n# A tibble: 6 x 4\n#Rowwise: \n game1 game2 game3 mean_points\n \n1 22 12 NA 22 \n2 25 10 15 20 \n3 29 6 15 22 \n4 13 6 18 15.5\n5 22 8 22 22 \n6 30 11 13 21.5<\/span><\/span><\/strong><\/span><\/pre>\n\n
\u00d6rnek 2: Her sat\u0131rdaki maksimum belirli s\u00fctun say\u0131s\u0131<\/strong><\/span><\/h2>\n
library<\/span> (dplyr)\n\n#calculate max of game2 and game3\ndf %>%\n rowwise() %>% \n mutate(max_points = max(c(game2, game3), na. rm<\/span> = TRUE<\/span> ))\n\n# A tibble: 6 x 4\n#Rowwise: \n game1 game2 game3 max_points\n \n1 22 12 NA 12\n2 25 10 15 15\n3 29 6 15 15\n4 13 6 18 18\n5 22 8 22 22\n6 30 11 13 13<\/span><\/span><\/strong><\/span><\/pre>\n\n
\u00d6rnek 3: Her sat\u0131rdaki belirli s\u00fctunlar\u0131n standart sapmas\u0131<\/strong><\/span><\/h2>\n
library<\/span> (dplyr)\n\n#calculate standard deviation of game2 and game3\ndf %>%\n rowwise() %>% \n mutate(sd_points = sd(c(game2, game3), na. rm<\/span> = TRUE<\/span> ))\n\n# A tibble: 6 x 4\n#Rowwise: \n game1 game2 game3 sd_points\n \n1 22 12 NA NA \n2 25 10 15 3.54\n3 29 6 15 6.36\n4 13 6 18 8.49\n5 22 8 22 9.90\n6 30 11 13 1.41<\/span><\/span><\/strong><\/span><\/pre>\n\n
Ek kaynaklar<\/strong><\/span><\/h2>\n
Dplyr kullanarak birden fazla s\u00fctunun toplam\u0131 nas\u0131l hesaplan\u0131r<\/a>
Dplyr kullanarak bir veri \u00e7er\u00e7evesindeki birden \u00e7ok de\u011fer nas\u0131l de\u011fi\u015ftirilir?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"