<\/p>\n
R’de kar\u015f\u0131la\u015fabilece\u011finiz bir hata:<\/span><\/p>\n Bu hata, R’deki bir veri \u00e7er\u00e7evesinin bir veya daha fazla s\u00fctunundaki de\u011ferleri \u00f6zetlemek i\u00e7in Aggregate()<\/strong> i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ancak s\u00fctunlara ba\u015fvururken veri \u00e7er\u00e7evesinin ad\u0131n\u0131 belirleyemedi\u011finizde 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, tak\u0131ma<\/strong> g\u00f6re grupland\u0131r\u0131lm\u0131\u015f ortalama puan<\/strong> de\u011ferini hesaplamak i\u00e7in Aggregate()<\/strong> i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/p>\n List()<\/strong> arg\u00fcman\u0131nda veri blo\u011fu ad\u0131n\u0131 belirleyemedi\u011fimiz i\u00e7in bir hata al\u0131yoruz.<\/span><\/p>\n Bu hatay\u0131 d\u00fczeltmenin yolu , list()<\/strong> arg\u00fcman\u0131nda yaln\u0131zca “team”<\/strong> yerine df$team komutunu<\/strong> kullanmakt\u0131r:<\/span><\/p>\n List()<\/strong> arg\u00fcman\u0131nda veri \u00e7er\u00e7evesi ad\u0131n\u0131 belirtti\u011fimiz i\u00e7in bu sefer herhangi bir hata almad\u0131\u011f\u0131m\u0131z\u0131 unutmay\u0131n.<\/span><\/p>\n list()<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkeninde birden fazla s\u00fctun ad\u0131 kullan\u0131rsan\u0131z, her s\u00fctun ad\u0131 i\u00e7in veri \u00e7er\u00e7evesi ad\u0131n\u0131 belirtmeniz gerekece\u011fini, aksi takdirde bir hata alaca\u011f\u0131n\u0131z\u0131 unutmay\u0131n.<\/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 aggregate.data.frame(as.data.frame(x), …): arguments must have same length Bu hata, R’deki bir veri \u00e7er\u00e7evesinin bir veya daha fazla s\u00fctunundaki de\u011ferleri \u00f6zetlemek i\u00e7in Aggregate() i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda ancak s\u00fctunlara ba\u015fvururken veri \u00e7er\u00e7evesinin ad\u0131n\u0131 belirleyemedi\u011finizde ortaya \u00e7\u0131kar. Bu e\u011fitimde bu hatan\u0131n nas\u0131l d\u00fczeltilece\u011fi tam olarak a\u00e7\u0131klanmaktad\u0131r. Hata nas\u0131l yeniden olu\u015fturulur? R’de a\u015fa\u011f\u0131daki […]<\/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-4276","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n Error in aggregate.data.frame(as.data.frame(x), ...): \n arguments must have same length \n<\/strong><\/pre>\n
Hata nas\u0131l yeniden olu\u015fturulur?<\/strong><\/h2>\n
#create data frame\ndf <- data. frame<\/span> (team=c('A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'C', 'C'),\n points=c(5, 9, 12, 14, 14, 13, 10, 6, 15, 18))<\/span>\n\n#view data frame\ndf\n\n team points\n1 to 5\n2 to 9\n3 to 12\n4 to 14\n5 to 14\n6 B 13\n7 B 10\n8 B 6\n9 C 15\n10 C 18\n<\/span><\/span><\/strong><\/span><\/pre>\n #attempt to calculate mean points value by team\naggregate(df$points, list(' team<\/span> '), FUN=mean)\n\nError in aggregate.data.frame(as.data.frame(x), ...): \n arguments must have same length<\/span><\/span><\/strong><\/span><\/pre>\n Hata nas\u0131l d\u00fczeltilir?<\/strong><\/span><\/h2>\n
#calculate mean points value by team\naggregate(df$points, list(df$team), FUN=mean)\n\n Group.1 x\n1 A 10.800000\n2 B 9.666667\n3 C 16.500000\n<\/span><\/span><\/strong><\/span><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\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":"