<\/p>\n
Bir veri k\u00fcmesinin modu<\/a> en s\u0131k g\u00f6r\u00fclen de\u011feri temsil eder.<\/span><\/p>\n Belirli bir veri setinde hi\u00e7bir mod, tek bir mod veya birden fazla mod olamaz.<\/span><\/p>\n R istatistik yaz\u0131l\u0131m\u0131n\u0131n bir veri k\u00fcmesinin modunu hesaplamak i\u00e7in yerle\u015fik bir i\u015flevi yoktur, ancak modu hesaplamak i\u00e7in a\u015fa\u011f\u0131daki i\u015flevi kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, dijital bir vekt\u00f6r\u00fcn modunu hesaplamak i\u00e7in bu fonksiyonun nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n Veri k\u00fcmesinin modu 4<\/strong> olarak ortaya \u00e7\u0131k\u0131yor. Bu en s\u0131k kar\u015f\u0131la\u015f\u0131lan say\u0131d\u0131r.<\/span><\/p>\n Bir veri k\u00fcmesinde birden fazla mod oldu\u011funda da bu i\u015flevi kullanabilece\u011fimizi unutmay\u0131n:<\/span><\/p>\n Veri k\u00fcmesinin modlar\u0131 2<\/strong> ve 4’t\u00fcr<\/strong> . Bu iki say\u0131 en yayg\u0131n olanlard\u0131r.<\/span><\/p>\n Bu fonksiyon ayn\u0131 zamanda bir karakter vekt\u00f6r\u00fcn\u00fcn modunu hesaplamak i\u00e7in de kullan\u0131labilir:<\/span><\/p>\n Modun \u201cG\u00fcne\u015fli\u201d oldu\u011fu ortaya \u00e7\u0131k\u0131yor; bu, vekt\u00f6rde en s\u0131k g\u00f6r\u00fclen dizedir.<\/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. Belirli bir veri setinde hi\u00e7bir mod, tek bir mod veya birden fazla mod olamaz. R istatistik yaz\u0131l\u0131m\u0131n\u0131n bir veri k\u00fcmesinin modunu hesaplamak i\u00e7in yerle\u015fik bir i\u015flevi yoktur, ancak modu hesaplamak i\u00e7in a\u015fa\u011f\u0131daki i\u015flevi kullanabilirsiniz: find_mode <- function (x) { u <- unique(x) tab <- tabulate(match(x, […]<\/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-2005","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: Dijital bir vekt\u00f6r\u00fcn modunun hesaplanmas\u0131<\/strong><\/span><\/h3>\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#define numeric vector<\/span>\ndata <- c(1, 2, 2, 3, 4, 4, 4, 4, 5, 6)\n\n#find fashion<\/span>\nfind_mode(data)\n\n[1] 4<\/strong><\/span><\/pre>\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#define numeric vector with multiple modes<\/span>\ndata <- c(1, 2, 2, 2, 2, 3, 4, 4, 4, 4, 5, 6)\n\n#find fashion<\/span>\nfind_mode(data)\n\n[1] 2 4<\/strong><\/span><\/pre>\n \u00d6rnek 2: Bir karakter vekt\u00f6r\u00fcn\u00fcn modunun hesaplanmas\u0131<\/strong><\/span><\/h3>\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#define character vector<\/span>\ndata <- c('Sunny', 'Cloudy', 'Sunny', 'Sunny', 'Rainy', 'Cloudy')\n#find fashion<\/span>\nfind_mode(data)\n\n[1] \u201cSunny\u201d<\/strong><\/span><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\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":"