<\/p>\n
R’deki colMeans()<\/strong> i\u015flevi, R’deki bir matrisin veya veri \u00e7er\u00e7evesinin birden fazla s\u00fctununun ortalamas\u0131n\u0131 hesaplamak i\u00e7in kullan\u0131labilir.<\/span><\/p>\n Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir veri \u00e7er\u00e7evesindeki her s\u00fctunun ortalamas\u0131n\u0131n nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, her bir s\u00fctunun ortalamas\u0131n\u0131n nas\u0131l hesaplanaca\u011f\u0131n\u0131 ve NA de\u011ferlerinin nas\u0131l hari\u00e7 tutulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, veri \u00e7er\u00e7evesindeki belirli s\u00fctunlar\u0131n ortalama de\u011ferlerinin nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Belirli s\u00fctunlar\u0131n ortalamas\u0131n\u0131 almak i\u00e7in dizin de\u011ferlerini de kullanabilece\u011fimizi unutmay\u0131n:<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer ortak i\u015flevlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’deki s\u00fctunlar\u0131n standart sapmas\u0131 nas\u0131l hesaplan\u0131r?<\/a> R’deki colMeans() i\u015flevi, R’deki bir matrisin veya veri \u00e7er\u00e7evesinin birden fazla s\u00fctununun ortalamas\u0131n\u0131 hesaplamak i\u00e7in kullan\u0131labilir. Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r: #calculate column means of every column colMeans(df) #calculate column means and exclude NA values colMeans(df, na. rm = T ) #calculate column means of specific columns colMeans(df[c(‘ col1 ‘, ‘ col3 ‘, ‘ […]<\/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-2068","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n #calculate column means of every column<\/span>\ncolMeans(df)\n\n#calculate column means and exclude NA values<\/span>\ncolMeans(df, na. rm<\/span> = T<\/span> )\n\n#calculate column means of specific columns<\/span>\ncolMeans(df[c(' col1<\/span> ', ' col3<\/span> ', ' col4<\/span> ')])<\/strong><\/pre>\n \u00d6rnek 1: Her s\u00fctunun ortalamas\u0131n\u0131 hesaplay\u0131n<\/strong><\/span><\/h3>\n
#create data frame\n<\/span>df <- data. frame<\/span> (points=c(99, 91, 86, 88, 95),\n assists=c(33, 28, 31, 39, 34),\n rebounds=c(30, 28, 24, 24, 28),\n blocks=c(1, 4, 11, 0, 2))\n\n#calculate column means\n<\/span>colMeans(df)\n\n points assists rebounds blocks \n 91.8 33.0 26.8 3.6<\/strong><\/pre>\n \u00d6rnek 2<\/strong><\/span> : Her s\u00fctunun ortalamas\u0131n\u0131 hesaplay\u0131n ve NA’lar\u0131 hari\u00e7 tutun<\/strong><\/span><\/h3>\n
#create data frame with some NA values\n<\/span>df <- data. frame<\/span> (points=c(99, 91, 86, 88, 95),\n assists=c(33, NA, 31, 39, 34),\n rebounds=c(30, 28, NA, NA, 28),\n blocks=c(1, 4, 11, 0, 2))\n\n#calculate column means\n<\/span>colMeans(df, na. rm<\/span> = T<\/span> )\n\n points assists rebounds blocks \n91.80000 34.25000 28.66667 3.60000<\/strong><\/pre>\n \u00d6rnek 3: Belirli s\u00fctunlar\u0131n ortalamas\u0131n\u0131 hesaplama<\/strong><\/h3>\n
#create data frame\n<\/span>df <- data. frame<\/span> (points=c(99, 91, 86, 88, 95),\n assists=c(33, 28, 31, 39, 34),\n rebounds=c(30, 28, 24, 24, 28),\n blocks=c(1, 4, 11, 0, 2))\n\n#calculate column means for 'points' and 'blocks' columns\n<\/span>colMeans(df[c(' points<\/span> ', ' blocks<\/span> ')])\n\npoint blocks \n 91.8 3.6<\/strong><\/pre>\n #create data frame\n<\/span>df <- data. frame<\/span> (points=c(99, 91, 86, 88, 95),\n assists=c(33, 28, 31, 39, 34),\n rebounds=c(30, 28, 24, 24, 28),\n blocks=c(1, 4, 11, 0, 2))\n\n#calculate column means for columns in position 1 and 4\n<\/span>colMeans(df[c(1, 4)])\n\npoint blocks \n 91.8 3.6<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de grup ba\u015f\u0131na ortalama nas\u0131l hesaplan\u0131r<\/a>
R’de gruba g\u00f6re toplam nas\u0131l hesaplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"