<\/p>\n
R’de kar\u015f\u0131la\u015fabilece\u011finiz bir hata:<\/span><\/p>\n Bu hata, bir veri \u00e7er\u00e7evesi veya matrisin bir s\u00fctunu i\u00e7in bir \u00f6l\u00e7\u00fcm hesaplamak amac\u0131yla application()<\/strong> i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda, bir veri \u00e7er\u00e7evesi veya matris yerine ba\u011f\u0131ms\u0131z de\u011fi\u015fken olarak bir vekt\u00f6r sa\u011flad\u0131\u011f\u0131n\u0131zda ortaya \u00e7\u0131kar.<\/span><\/p>\n Bu e\u011fitimde bu hatan\u0131n nas\u0131l d\u00fczeltilece\u011fi tam olarak a\u00e7\u0131klanmaktad\u0131r.<\/span><\/p>\n R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n \u015eimdi “puan” s\u00fctunundaki ortalama de\u011feri hesaplamak i\u00e7in application()<\/strong> i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n Apply()<\/strong> fonksiyonunun bir veri \u00e7er\u00e7evesine veya matrise uygulanmas\u0131 gerekti\u011finden bir hata olu\u015fur, ancak bu \u00f6rnekte onu veri \u00e7er\u00e7evesindeki belirli bir s\u00fctuna uygulamaya \u00e7al\u0131\u015f\u0131yoruz.<\/span><\/p>\n Bu hatay\u0131 d\u00fczeltmenin yolu, basit\u00e7e veri \u00e7er\u00e7evesinin ad\u0131n\u0131 application()<\/strong> i\u015flevine a\u015fa\u011f\u0131daki gibi sa\u011flamakt\u0131r:<\/span><\/span><\/p>\n \u00c7\u0131kt\u0131dan veri \u00e7er\u00e7evesindeki her s\u00fctunun ortalama de\u011ferini g\u00f6rebiliriz. \u00d6rne\u011fin \u201cpuan\u201d s\u00fctununun ortalama de\u011feri 92.625’tir<\/strong> .<\/span><\/p>\n Bu fonksiyonu ayn\u0131 zamanda veri \u00e7er\u00e7evesindeki belirli de\u011ferlerin yaln\u0131zca ortalamas\u0131n\u0131 bulmak i\u00e7in de kullanabiliriz:<\/span><\/p>\n Son olarak, tek bir s\u00fctunun ortalamas\u0131n\u0131 bulmak istiyorsak, application()<\/strong> i\u015flevini hi\u00e7 kullanmadan Mean()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’deki di\u011fer yayg\u0131n hatalar\u0131n nas\u0131l \u00e7\u00f6z\u00fclece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de nas\u0131l d\u00fczeltilir: Adlar \u00f6nceki adlarla e\u015fle\u015fmiyor<\/a> R’de kar\u015f\u0131la\u015fabilece\u011finiz bir hata: Error in apply(df$var1, 2, mean): dim(X) must have a positive length Bu hata, bir veri \u00e7er\u00e7evesi veya matrisin bir s\u00fctunu i\u00e7in bir \u00f6l\u00e7\u00fcm hesaplamak amac\u0131yla application() i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda, bir veri \u00e7er\u00e7evesi veya matris yerine ba\u011f\u0131ms\u0131z de\u011fi\u015fken olarak bir vekt\u00f6r sa\u011flad\u0131\u011f\u0131n\u0131zda ortaya \u00e7\u0131kar. Bu e\u011fitimde bu hatan\u0131n nas\u0131l d\u00fczeltilece\u011fi tam olarak […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-2008","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n Error in apply(df$var1, 2, mean): dim(X) must have a positive length \n<\/strong><\/pre>\n
Hata nas\u0131l yeniden olu\u015fturulur?<\/strong><\/h3>\n
#create data frame<\/span>\ndf <- data. frame<\/span> (points=c(99, 97, 104, 79, 84, 88, 91, 99),\n rebounds=c(34, 40, 41, 38, 29, 30, 22, 25),\n blocks=c(12, 8, 8, 7, 8, 11, 6, 7))\n\n#view data frame\n<\/span>df\n\n points rebound blocks\n1 99 34 12\n2 97 40 8\n3 104 41 8\n4 79 38 7\n5 84 29 8\n6 88 30 11\n7 91 22 6\n8 99 25 7<\/strong><\/span><\/pre>\n #attempt to calculate mean of 'points' column<\/span>\napply(df$points, 2, mean)\n\nError in apply(df$points, 2, mean): dim(X) must have a positive length\n<\/strong><\/span><\/pre>\n Hata nas\u0131l d\u00fczeltilir?<\/strong><\/span><\/h3>\n
#calculate mean of every column in data frame<\/span>\napply(df, 2, mean)\n\n points rebound blocks \n 92,625 32,375 8,375 \n<\/strong><\/span><\/pre>\n #calculate mean of 'points' and 'blocks' column in data frame<\/span>\napply(df[c(' points<\/span> ', ' blocks<\/span> ')], 2, mean)\n\npoint blocks \n92,625 8,375<\/strong><\/span><\/pre>\n #calculate mean of 'points' column\nmean(df$points)<\/span>\n\n[1] 92,625\n<\/span><\/span><\/strong><\/span><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de nas\u0131l d\u00fczeltilir: daha uzun bir nesnenin uzunlu\u011fu, daha k\u0131sa bir nesnenin uzunlu\u011funun kat\u0131 de\u011fildir<\/a>
R’de nas\u0131l d\u00fczeltilir: kontrastlar yaln\u0131zca 2 veya daha fazla seviyeye sahip fakt\u00f6rlere uygulanabilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"