<\/p>\n
Genellikle R’deki bir veri \u00e7er\u00e7evesinde her grubun maksimum de\u011ferini bulmak isteyebilirsiniz. Neyse ki bunu dplyr<\/a> paketindeki i\u015flevleri kullanarak yapmak kolayd\u0131r.<\/span><\/p>\n Bu e\u011fitimde a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesini kullanarak bunun nas\u0131l yap\u0131laca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, pozisyon ve tak\u0131m ba\u015f\u0131na maksimum de\u011ferin nas\u0131l bulunaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, tak\u0131m ve pozisyon ba\u015f\u0131na maksimum de\u011feri i\u00e7eren sat\u0131rlar\u0131n nas\u0131l d\u00f6nd\u00fcr\u00fclece\u011fini g\u00f6sterir:<\/span><\/p>\n \u00d6nceki \u00f6rnekte, A tak\u0131m\u0131nda maksimum puana sahip olan ve her ikisi de G konumunda olan iki oyuncu vard\u0131. Yaln\u0131zca maksimum de\u011fere sahip ilk oyuncuyu bir gruba geri d\u00f6nd\u00fcrmek istiyorsan\u0131z dilim( ) i\u015flev.<\/strong> a\u015fa\u011f\u0131daki gibi \u00e7al\u0131\u015ft\u0131r\u0131n:<\/span><\/p>\n Tam K\u0131lavuz: R’de Veriler Nas\u0131l Grupland\u0131r\u0131l\u0131r ve \u00d6zetlenir<\/a> Genellikle R’deki bir veri \u00e7er\u00e7evesinde her grubun maksimum de\u011ferini bulmak isteyebilirsiniz. Neyse ki bunu dplyr paketindeki i\u015flevleri kullanarak yapmak kolayd\u0131r. Bu e\u011fitimde a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesini kullanarak bunun nas\u0131l yap\u0131laca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r: #create data frame df <- data.frame(team = c(‘A’, ‘A’, ‘A’, ‘B’, ‘B’, ‘B’, ‘B’), position = c(‘G’, ‘F’, ‘F’, ‘G’, ‘G’, ‘G’, ‘F’), points = […]<\/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-959","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n #create data frame<\/span>\ndf <- data.frame(team = c('A', 'A', 'A', 'B', 'B', 'B', 'B'),\n position = c('G', 'F', 'F', 'G', 'G', 'G', 'F'),\n points = c(12, 15, 19, 22, 34, 34, 39))\n\n#view data frame\n<\/span>df\n\n team position points\n1 AG 12\n2 AF15\n3 FY 19\n4 BG 22\n5 BG 34\n6 BG 34\n7 BF 39\n<\/strong><\/pre>\n \u00d6rnek 1: Grup ba\u015f\u0131na maksimum de\u011feri bulun<\/strong><\/span><\/h3>\n
library(dplyr)<\/span>\n\n#find max value by team and position<\/span>\ndf %>%\n group_by<\/span> (team, position) %>%\n summarize<\/span> (max = max(points, na.rm= TRUE<\/span> ))\n\n# A tibble: 4 x 3\n# Groups: team [?]\n team position max\n \n1AF 19.0\n2 AG 12.0\n3 BF 39.0\n4 BG 34.0<\/strong><\/pre>\n \u00d6rnek 2: Grup ba\u015f\u0131na maksimum de\u011feri i\u00e7eren sat\u0131rlar\u0131 d\u00f6nd\u00fcrme<\/strong><\/span><\/h3>\n
library(dplyr)<\/span>\n\n#find rows that contain max points by team and position<\/span>\ndf %>%\n group_by<\/span> (team, position) %>%\n filter<\/span> (points == max(points, na.rm= TRUE<\/span> ))\n\n# A tibble: 5 x 3\n# Groups: team, position [4]\n team position points\n \n1 AG 12.0\n2AF 19.0\n3 BG 34.0\n4 BG 34.0\n5BF 39.0<\/strong><\/pre>\n \u00d6rnek 3: Grup ba\u015f\u0131na maksimum de\u011feri i\u00e7eren tek bir sat\u0131r d\u00f6nd\u00fcr\u00fcn<\/strong><\/span><\/h3>\n
library(dplyr)<\/span>\n\n#find rows that contain max points by team and position<\/span>\ndf %>%\n group_by<\/span> (team, position) %>%\n slice<\/span> (which.max(points))\n\n# A tibble: 4 x 3\n# Groups: team, position [4]\n team position points\n \n1AF 19.0\n2 AG 12.0\n3 BF 39.0\n4 BG 34.0<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
R’deki sat\u0131rlar nas\u0131l filtrelenir<\/a>
R’de yinelenen sat\u0131rlar nas\u0131l kald\u0131r\u0131l\u0131r<\/p>\n","protected":false},"excerpt":{"rendered":"