<\/p>\n
R’de tan\u0131mlay\u0131c\u0131 istatistikleri hesaplarken eksik de\u011ferleri hari\u00e7 tutmak i\u00e7in na.rm=TRUE<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabilirsiniz.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler bu arg\u00fcman\u0131n pratikte vekt\u00f6rler ve veri \u00e7er\u00e7eveleri ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n R’de eksik de\u011ferleri i\u00e7eren a\u015fa\u011f\u0131daki vekt\u00f6r\u00fcn ortalamas\u0131n\u0131, toplam\u0131n\u0131, maksimumunu ve standart sapmas\u0131n\u0131 hesaplamaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n Bu i\u015flevlerin her biri bir NA<\/strong> de\u011feri d\u00f6nd\u00fcr\u00fcr.<\/span><\/p>\n Bu hesaplamalar\u0131 yaparken eksik de\u011ferleri hari\u00e7 tutmak i\u00e7in na.rm = TRUE<\/strong> arg\u00fcman\u0131n\u0131 a\u015fa\u011f\u0131daki gibi dahil edebiliriz:<\/span><\/p>\n Eksik de\u011ferleri hari\u00e7 tutarak her hesaplamay\u0131 ba\u015far\u0131yla ger\u00e7ekle\u015ftirebildi\u011fimizi unutmay\u0131n.<\/span><\/p>\n R’de eksik de\u011ferleri i\u00e7eren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Veri \u00e7er\u00e7evesindeki her bir s\u00fctun i\u00e7in tan\u0131mlay\u0131c\u0131 istatistikleri hesaplamak i\u00e7in application()<\/strong> i\u015flevini kullanabiliriz ve bu hesaplamalar\u0131 ger\u00e7ekle\u015ftirirken eksik de\u011ferleri hari\u00e7 tutmak i\u00e7in na.rm = TRUE<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabiliriz:<\/span><\/p>\n Bir kez daha eksik de\u011ferleri hari\u00e7 tutarak her hesaplamay\u0131 ba\u015far\u0131yla tamamlamay\u0131 ba\u015fard\u0131k.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de eksik de\u011ferlerle di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de is.null nas\u0131l kullan\u0131l\u0131r?<\/a> R’de tan\u0131mlay\u0131c\u0131 istatistikleri hesaplarken eksik de\u011ferleri hari\u00e7 tutmak i\u00e7in na.rm=TRUE ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabilirsiniz. #calculate mean and exclude missing values mean(x, na. rm = TRUE ) #calculate sum and exclude missing values sum(x, na. rm = TRUE ) #calculate maximum and exclude missing values max(x, na. rm = TRUE ) #calculate standard deviation and exclude missing […]<\/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-1862","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n #calculate mean and exclude missing values<\/span>\nmean(x, na. rm<\/span> = TRUE<\/span> )\n\n#calculate sum and exclude missing values<\/span> \nsum(x, na. rm<\/span> = TRUE<\/span> )\n\n#calculate maximum and exclude missing values<\/span> \nmax(x, na. rm<\/span> = TRUE<\/span> )\n\n#calculate standard deviation and exclude missing values<\/span> \nsd(x, na. rm<\/span> = TRUE<\/span> )\n<\/strong><\/pre>\n \u00d6rnek 1: na.rm’yi vekt\u00f6rlerle kullanma<\/strong><\/span><\/h3>\n
#define vector with some missing values<\/span>\nx <- c(3, 4, 5, 5, 7, NA, 12, NA, 16)\n\nmean(x)\n\n[1] NA\n\nsum(x)\n\n[1] NA\n\nmax(x)\n\n[1] NA\n\nsd(x)\n\n[1] NA\n<\/strong><\/pre>\n #define vector with some missing values<\/span>\nx <- c(3, 4, 5, 5, 7, NA, 12, NA, 16)\n\nmean(x, na. rm<\/span> = TRUE<\/span> )\n\n[1] 7.428571\n\nsum(x, na. rm<\/span> = TRUE<\/span> )\n\n[1] 52\n\nmax(x, na. rm<\/span> = TRUE<\/span> )\n\n[1] 16\n\nsd(x, na. rm<\/span> = TRUE<\/span> )\n\n[1] 4.790864\n<\/strong><\/pre>\n \u00d6rnek 2: na.rm’yi veri \u00e7er\u00e7eveleriyle kullanma<\/strong><\/span><\/h3>\n
#create data frame\n<\/span>df <- data. frame<\/span> (var1=c(1, 3, 3, 4, 5),\n var2=c(7, 7, NA, 3, 2),\n var3=c(3, 3, NA, 6, 8),\n var4=c(1, 1, 2, 8, NA))\n\n#view data frame\n<\/span>df\n\n var1 var2 var3 var4\n1 1 7 3 1\n2 3 7 3 1\n3 3 NA NA 2\n4 4 3 6 8\n5 5 2 8 NA\n<\/strong><\/pre>\n #calculate mean of each column\napply(df, 2, mean, na. rm<\/span> = TRUE<\/span> )\n\nvar1 var2 var3 var4 \n3.20 4.75 5.00 3.00 \n\n#calculate sum of each column<\/span>\napply(df, 2, sum, na. rm<\/span> = TRUE<\/span> )\n\nvar1 var2 var3 var4 \n 16 19 20 12 \n\n#calculate max of each column<\/span>\napply(df, 2, max, na. rm<\/span> = TRUE<\/span> )\n\nvar1 var2 var3 var4 \n 5 7 8 8 \n\n#calculate standard deviation of each column<\/span>\napply(df, 2, sd, na. rm<\/span> = TRUE<\/span> )\n\n var1 var2 var3 var4 \n1.483240 2.629956 2.449490 3.366502<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de na.omit nas\u0131l kullan\u0131l\u0131r<\/a>
R’de is.na nas\u0131l kullan\u0131l\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"