<\/p>\n
Bir veri k\u00fcmesinin modu<\/a> en s\u0131k g\u00f6r\u00fclen de\u011feri temsil eder.<\/span><\/p>\n R istatistiksel yaz\u0131l\u0131m\u0131nda bir veri k\u00fcmesinin modunu hesaplamak i\u00e7in yerle\u015fik bir i\u015flev yoktur, ancak modu hesaplamak i\u00e7in a\u015fa\u011f\u0131daki i\u015flevi kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, R’de modu gruba g\u00f6re hesaplamak i\u00e7in bu i\u015flevin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n Diyelim ki R’de farkl\u0131 tak\u0131mlardan basketbolcular\u0131n att\u0131\u011f\u0131 say\u0131lar\u0131 g\u00f6steren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahibiz:<\/span><\/p>\n Tak\u0131ma<\/strong> g\u00f6re grupland\u0131r\u0131lm\u0131\u015f puan<\/strong> modunu hesaplamak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/p>\n Sonu\u00e7lardan \u015funlar\u0131 g\u00f6rebiliriz:<\/span><\/span><\/p>\n R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Tak\u0131ma<\/strong> g\u00f6re grupland\u0131r\u0131lm\u0131\u015f puan<\/strong> modunu hesaplamak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/p>\n Sonu\u00e7lardan \u015funlar\u0131 g\u00f6rebiliriz:<\/span><\/p>\n Bu \u00f6rnekte, B Tak\u0131m\u0131 i\u00e7in en s\u0131k iki puan de\u011feri ortaya \u00e7\u0131km\u0131\u015ft\u0131r. Dolay\u0131s\u0131yla bu mod de\u011ferlerinin her biri, \u00e7\u0131kt\u0131da B Tak\u0131m\u0131 i\u00e7in ayr\u0131 bir sat\u0131rda d\u00f6nd\u00fcr\u00fcl\u00fcr.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’deki di\u011fer tan\u0131mlay\u0131c\u0131 istatistiklerin nas\u0131l hesaplanaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’deki be\u015f say\u0131n\u0131n \u00f6zeti nas\u0131l hesaplan\u0131r<\/a> Bir veri k\u00fcmesinin modu en s\u0131k g\u00f6r\u00fclen de\u011feri temsil eder. R istatistiksel yaz\u0131l\u0131m\u0131nda bir veri k\u00fcmesinin modunu hesaplamak i\u00e7in yerle\u015fik bir i\u015flev yoktur, ancak modu hesaplamak i\u00e7in a\u015fa\u011f\u0131daki i\u015flevi kullanabilirsiniz: find_mode <- function (x) { u <- unique(x) tab <- tabulate(match(x, u)) u[tab == max(tab)] } A\u015fa\u011f\u0131daki \u00f6rnekler, R’de modu gruba g\u00f6re hesaplamak i\u00e7in bu […]<\/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-3490","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n find_mode <- function<\/span> (x) {\n u <- unique(x)\n tab <- tabulate(match(x, u))\n u[tab ==<\/span> max(tab)]\n}\n<\/strong><\/pre>\n \u00d6rnek 1: R’de modu gruba g\u00f6re hesaplama (bir mod)<\/strong><\/span><\/h2>\n
#define data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'),\n points=c(5, 7, 7, 9, 12, 12, 10, 14))\n\n#view data frame\n<\/span>df\n\n team points\n1 to 5\n2 to 7\n3 to 7\n4 to 9\n5 B 12\n6 B 12\n7 B 10\n8 B 14\n<\/strong><\/pre>\n library<\/span> (dplyr)\n<\/span>\n#define function to calculate mode\n<\/span>find_mode <- function<\/span> (x) {\n u <- unique(x)\n tab <- tabulate(match(x, u))\n u[tab ==<\/span> max(tab)]\n}\n\n#calculate mode of 'points' by 'team'\n<\/span>df %>%\n group_by(team) %>%\n summarize(mode_points = find_mode(points))\n\n# A tibble: 2 x 2\n team mode_points\n \n1 to 7\n2 B 12\n<\/strong><\/span><\/pre>\n\n
\u00d6rnek 2: R’de modu gruba g\u00f6re hesaplama (\u00e7oklu modlar)<\/strong><\/span><\/h2>\n
#define data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'),\n points=c(5, 7, 7, 9, 12, 12, 10, 10))\n\n#view data frame\n<\/span>df\n\n team points\n1 to 5\n2 to 7\n3 to 7\n4 to 9\n5 B 12\n6 B 12\n7 B 10\n8 B 10\n<\/strong><\/pre>\n library<\/span> (dplyr)\n\n#define function to calculate mode\n<\/span>find_mode <- function<\/span> (x) {\n u <- unique(x)\n tab <- tabulate(match(x, u))\n u[tab ==<\/span> max(tab)]\n}\n\n#calculate mode of 'points' by 'team'\n<\/span>df %>%\n group_by(team) %>%\n summarize(mode_points = find_mode(points))\n\n# A tibble: 3 x 2\n# Groups: team [2]\n team mode_points\n \n1 to 7\n2 B 12\n3 B 10\n<\/strong><\/span><\/pre>\n\n
Ek kaynaklar<\/strong><\/span><\/h2>\n
R’de \u00f6zet tablolar nas\u0131l olu\u015fturulur<\/a>
R’de Mean() i\u015flevi nas\u0131l kullan\u0131l\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"