<\/p>\n
Bir veri \u00e7er\u00e7evesindeki de\u011fi\u015fkenlere ili\u015fkin \u00f6zet istatistikleri hesaplamak i\u00e7in R’deki Aggregate()<\/strong> i\u015flevini kullanabilirsiniz.<\/span><\/p>\n Varsay\u0131lan olarak, Aggregate()<\/strong> i\u015flevi bir veri \u00e7er\u00e7evesinde bir veya daha fazla NA de\u011feri i\u00e7eren bir sat\u0131rla kar\u015f\u0131la\u015f\u0131rsa, hesaplamalar\u0131 ger\u00e7ekle\u015ftirirken yaln\u0131zca sat\u0131r\u0131 kald\u0131r\u0131r.<\/span><\/span><\/p>\n Bu, hesaplamalar yap\u0131l\u0131rken beklenmeyen sonu\u00e7lara yol a\u00e7abilir.<\/span><\/p>\n Bu davran\u0131\u015f\u0131 \u00f6nlemek i\u00e7in Aggregate()<\/strong> i\u015flevinde na.action=NULL<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabilirsiniz.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek bu arg\u00fcman\u0131n pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n R’de farkl\u0131 tak\u0131mlardaki basketbolcular\u0131n say\u0131lar\u0131n\u0131 ve asistlerini g\u00f6steren 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 puanlar\u0131n<\/strong> ve asistlerin<\/strong> toplam\u0131n\u0131 hesaplamak i\u00e7in Aggregate()<\/strong> i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/span><\/span><\/p>\n Sonu\u00e7 bize tak\u0131m ba\u015f\u0131na puan ve asist toplam\u0131n\u0131 g\u00f6steriyor gibi g\u00f6r\u00fcn\u00fcyor, ancak NA de\u011ferlerine sahip sat\u0131rlar asl\u0131nda bu hesaplamalar\u0131 \u00e7al\u0131\u015ft\u0131r\u0131rken kald\u0131r\u0131ld\u0131.<\/span><\/p>\n Orijinal veri \u00e7er\u00e7evesine bakarak ve Tak\u0131m C’nin<\/strong> puan<\/strong> s\u00fctununda iki de\u011fere sahip oldu\u011funu g\u00f6rerek bunu do\u011frulayabiliriz:<\/span><\/p>\n Yani C tak\u0131m\u0131n\u0131n toplam 33 puan\u0131 olmas\u0131 gerekirken sonu\u00e7 sadece 15 puan g\u00f6steriyor.<\/span><\/p>\n Bunun nedeni, puan<\/strong> de\u011feri 18 olan sat\u0131r\u0131n asist<\/strong> s\u00fctununda NA de\u011ferinin bulunmas\u0131d\u0131r; bu, tak\u0131m\u0131n puan toplam\u0131 ile asist toplam\u0131 hesaplan\u0131rken bu sat\u0131r\u0131n ger\u00e7ekte kullan\u0131lmad\u0131\u011f\u0131 anlam\u0131na gelir.<\/span><\/p>\n Hesaplamalar yap\u0131l\u0131rken NA de\u011ferlerine sahip sat\u0131rlar\u0131n kald\u0131r\u0131lmamas\u0131n\u0131 sa\u011flamak i\u00e7in na.action=NULL<\/strong> arg\u00fcman\u0131n\u0131 \u015fu \u015fekilde kullanmam\u0131z gerekiyor:<\/span><\/p>\n Aggregate()<\/strong> fonksiyonunun bu sefer C tak\u0131m\u0131 i\u00e7in 33’e e\u015fit puan<\/strong> de\u011ferlerinin toplam\u0131n\u0131 do\u011fru bir \u015fekilde d\u00f6nd\u00fcrd\u00fc\u011f\u00fcn\u00fc unutmay\u0131n.<\/span><\/span><\/p>\n Not<\/strong> : na.rm=TRUE<\/strong> arg\u00fcman\u0131, belirli bir s\u00fctunda hesaplama yap\u0131l\u0131rken NA de\u011ferlerinin g\u00f6z ard\u0131 edilmesi<\/em> gerekti\u011fini belirtir.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de Summary() i\u015flevi nas\u0131l kullan\u0131l\u0131r?<\/a> Bir veri \u00e7er\u00e7evesindeki de\u011fi\u015fkenlere ili\u015fkin \u00f6zet istatistikleri hesaplamak i\u00e7in R’deki Aggregate() i\u015flevini kullanabilirsiniz. Varsay\u0131lan olarak, Aggregate() i\u015flevi bir veri \u00e7er\u00e7evesinde bir veya daha fazla NA de\u011feri i\u00e7eren bir sat\u0131rla kar\u015f\u0131la\u015f\u0131rsa, hesaplamalar\u0131 ger\u00e7ekle\u015ftirirken yaln\u0131zca sat\u0131r\u0131 kald\u0131r\u0131r. Bu, hesaplamalar yap\u0131l\u0131rken beklenmeyen sonu\u00e7lara yol a\u00e7abilir. Bu davran\u0131\u015f\u0131 \u00f6nlemek i\u00e7in Aggregate() i\u015flevinde na.action=NULL ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabilirsiniz. A\u015fa\u011f\u0131daki \u00f6rnek bu […]<\/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-4277","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n \u00d6rnek: R’de aggegate() kullan\u0131n ve NA ile sat\u0131rlar\u0131 silmeyin<\/strong><\/span><\/h2>\n
#create data frame\n<\/span>df <- 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),\n assists=c(NA, 4, 4, 5, 3, 6, 8, 4, 10, NA))\n\n#view data frame\n<\/span>df\n\n team points assists\n1 to 5 NA\n2 to 9 4\n3 to 12 4\n4 to 14 5\n5 A 14 3\n6 B 13 6\n7 B 10 8\n8 B 6 4\n9 C 15 10\n10 C 18 NA<\/strong><\/pre>\n #attempt to calculate sum of points and assists, grouped by team\n<\/span>aggregate(. ~ team, data=df, FUN=sum, na. rm<\/span> = TRUE<\/span> )\n\n team points assists\n1 A 49 16\n2 B 29 18\n3 C 15 10<\/strong><\/pre>\n\n
#calculate sum of points and assists, grouped by team (don't drop NA rows)\n<\/span>aggregate(. ~ team, data=df, FUN=sum, na. rm<\/span> = TRUE<\/span> , na. action<\/span> =NULL)\n\n team points assists\n1 A 54 16\n2 B 29 18\n3 C 33 10\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
R’de grup ba\u015f\u0131na ortalama nas\u0131l hesaplan\u0131r<\/a>
R’de tan\u0131mlay\u0131c\u0131 istatistikler nas\u0131l hesaplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"