<\/p>\n
R’deki bir s\u00fctunun ortalamas\u0131n\u0131 hesaplamak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden herhangi birini kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, R’de her y\u00f6ntemin a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesiyle nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, s\u00fctun ad\u0131n\u0131 kullanarak “puan” s\u00fctununun ortalamas\u0131n\u0131n nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n “Puan” s\u00fctunundaki ortalama de\u011fer 89,66667’dir<\/strong> .<\/span><\/p>\n Eksik de\u011ferleri i\u00e7eren bir s\u00fctunun ortalamas\u0131n\u0131 hesaplamaya \u00e7al\u0131\u015f\u0131rsak, \u015funu elde ederiz: NA<\/strong> :<\/span><\/p>\n S\u00fctun ortalamas\u0131n\u0131 hesaplarken eksik de\u011ferleri yok saymak i\u00e7in na.rm=TRUE<\/strong> kullanmam\u0131z gerekiyor:<\/span><\/span><\/p>\n “Asist” s\u00fctunundaki ortalama de\u011fer 32,2’dir<\/strong> .<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, dizin konumu 2’deki s\u00fctunun ortalamas\u0131n\u0131n nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Dizin konumu 2’deki s\u00fctunun (“puan” s\u00fctunu) ortalama de\u011feri 89,66667’dir<\/strong> .<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, veri \u00e7er\u00e7evesindeki t\u00fcm say\u0131sal s\u00fctunlar\u0131n ortalamas\u0131n\u0131n nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n \u00c7\u0131kt\u0131, veri \u00e7er\u00e7evesindeki her say\u0131sal s\u00fctunun ortalama de\u011ferini g\u00f6r\u00fcnt\u00fcler.<\/span><\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’deki di\u011fer ortalama de\u011ferlerin nas\u0131l hesaplanaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de k\u0131rp\u0131lm\u0131\u015f ortalama nas\u0131l hesaplan\u0131r<\/a> R’deki bir s\u00fctunun ortalamas\u0131n\u0131 hesaplamak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden herhangi birini kullanabilirsiniz: #calculate mean using column name mean(df$my_column) #calculate mean using column name (ignore missing values) mean(df$my_column, na. rm = TRUE ) #calculate mean using column position mean(df[, 1]) #calculation mean of all numeric columns colMeans(df[sapply(df, is. numeric )]) A\u015fa\u011f\u0131daki \u00f6rnekler, R’de her y\u00f6ntemin a\u015fa\u011f\u0131daki veri […]<\/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-3055","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n #calculate mean using column name<\/span>\nmean(df$my_column)\n\n#calculate mean using column name (ignore missing values)\n<\/span>mean(df$my_column, na. rm<\/span> = TRUE<\/span> )\n\n#calculate mean using column position<\/span>\nmean(df[, 1])\n\n#calculation mean of all numeric columns\n<\/span>colMeans(df[sapply(df, is. numeric<\/span> )])\n<\/b><\/pre>\n #create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'B', 'B', 'B'),\n points=c(99, 90, 93, 86, 88, 82),\n assists=c(33, 28, 31, 39, NA, 30))\n\n#view data frame\n<\/span>df\n\n team points assists\n1 A 99 33\n2 A 90 28\n3 A 93 31\n4 B 86 39\n5 B 88 NA\n6 B 82 30\n<\/strong><\/pre>\n \u00d6rnek 1: S\u00fctun ad\u0131n\u0131 kullanarak ortalamay\u0131 hesaplay\u0131n<\/strong><\/span><\/h3>\n
#calculate mean of 'points' column\nmean(df$points)\n\n[1] 89.66667<\/span>\n<\/span><\/strong><\/pre>\n \u00d6rnek 2: S\u00fctun Ad\u0131n\u0131 Kullanarak Ortalamay\u0131 Hesaplay\u0131n (Eksik De\u011ferleri Yoksay)<\/strong><\/span><\/h3>\n
#attempt to calculate mean of 'assists' column\nmean(df$assists)\n\n[1] NA<\/span>\n<\/span><\/strong><\/pre>\n #calculate mean of 'assists' column and ignore missing values\nmean(df$assists, na. rm<\/span> = TRUE<\/span> )\n\n[1] 32.2<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 3: S\u00fctun konumunu kullanarak ortalamay\u0131 hesaplay\u0131n<\/strong><\/span><\/h3>\n
#calculate mean of column in index position 2\nmean(df[, 2])\n\n[1] 89.66667<\/span>\n<\/span><\/strong><\/pre>\n \u00d6rnek 4: T\u00fcm say\u0131sal s\u00fctunlar\u0131n ortalamas\u0131n\u0131 hesaplay\u0131n<\/strong><\/span><\/h3>\n
#calculate mean of all numeric columns\ncolMeans(df[sapply(df, is. numeric<\/span> )], na. rm<\/span> = TRUE<\/span> )\n\n assist points \n89.66667 32.20000<\/span>\n<\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de geometrik ortalama nas\u0131l hesaplan\u0131r<\/a>
R’de a\u011f\u0131rl\u0131kl\u0131 ortalama nas\u0131l hesaplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"