<\/p>\n
Bir veya daha fazla vekt\u00f6r\u00fcn her konumundaki ilk eksik olmayan de\u011feri d\u00f6nd\u00fcrmek i\u00e7in R’deki dplyr<\/a> paketindeki coalesce()<\/strong> i\u015flevini kullanabilirsiniz.<\/span><\/p>\n Bu i\u015flevi kullanman\u0131n iki yayg\u0131n yolu vard\u0131r:<\/span><\/span><\/p>\n Y\u00f6ntem 1: Vekt\u00f6rdeki eksik de\u011ferleri de\u011fi\u015ftirin<\/strong><\/span><\/p>\n Y\u00f6ntem 2: Veri \u00e7er\u00e7evesi s\u00fctunlar\u0131ndaki ilk eksik olmayan de\u011feri d\u00f6nd\u00fcr<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin pratikte nas\u0131l uygulanaca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir vekt\u00f6rdeki t\u00fcm eksik de\u011ferleri 100 de\u011feriyle de\u011fi\u015ftirmek i\u00e7in coalesce()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Orijinal vekt\u00f6rdeki her NA<\/strong> de\u011ferinin 100<\/strong> de\u011feriyle de\u011fi\u015ftirildi\u011fini unutmay\u0131n.<\/span><\/p>\n R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, veri \u00e7er\u00e7evesinin A ve B s\u00fctunlar\u0131ndaki ilk eksik olmayan de\u011feri d\u00f6nd\u00fcrmek i\u00e7in coalesce()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Ortaya \u00e7\u0131kan C s\u00fctunu, A ve B s\u00fctunlar\u0131ndaki ilk eksik olmayan de\u011feri i\u00e7erir.<\/span><\/p>\n A ve B s\u00fctunlar\u0131n\u0131n her ikisinin de bu sat\u0131rda NA de\u011ferleri olmas\u0131 nedeniyle 5. sat\u0131r\u0131n C s\u00fctununda NA de\u011ferine sahip oldu\u011funa dikkat edin.<\/span><\/span><\/p>\n Her s\u00fctunda NA de\u011ferleri varsa , coalesce()<\/strong> fonksiyonuna de\u011fer olarak kullanmak \u00fczere ekstra bir de\u011fer ekleyebiliriz:<\/span><\/p>\n C s\u00fctununun 5. sat\u0131r\u0131ndaki NA de\u011ferinin art\u0131k 100<\/strong> de\u011feriyle de\u011fi\u015ftirildi\u011fini unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde dplyr kullan\u0131larak di\u011fer yayg\u0131n i\u015flevlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Dplyr kullanarak sat\u0131rlar nas\u0131l silinir<\/a> Bir veya daha fazla vekt\u00f6r\u00fcn her konumundaki ilk eksik olmayan de\u011feri d\u00f6nd\u00fcrmek i\u00e7in R’deki dplyr paketindeki coalesce() i\u015flevini kullanabilirsiniz. Bu i\u015flevi kullanman\u0131n iki yayg\u0131n yolu vard\u0131r: Y\u00f6ntem 1: Vekt\u00f6rdeki eksik de\u011ferleri de\u011fi\u015ftirin library (dplyr) #replace missing values with 100 coalescence(x, 100) Y\u00f6ntem 2: Veri \u00e7er\u00e7evesi s\u00fctunlar\u0131ndaki ilk eksik olmayan de\u011feri d\u00f6nd\u00fcr library (dplyr) #return first […]<\/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-3475","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n library<\/span> (dplyr)<\/span>\n\n#replace missing values with 100\n<\/span>coalescence(x, 100)\n<\/strong><\/pre>\n library<\/span> (dplyr)<\/span>\n\n#return first non-missing value at each position across columns A and B<\/span>\ncoalesce(df$A, df$B)<\/strong>\n<\/pre>\n \u00d6rnek 1: Vekt\u00f6rdeki eksik de\u011ferleri de\u011fi\u015ftirmek i\u00e7in coalesce() i\u015flevini kullan\u0131n<\/strong><\/span><\/h2>\n
library<\/span> (dplyr)<\/span>\n\n#create vector of values\n<\/span>x <- c(4, NA, 12, NA, 5, 14, 19)\n\n#replace missing values with 100\n<\/span>coalescence(x, 100)\n\n[1] 4 100 12 100 5 14 19\n<\/strong><\/pre>\n \u00d6rnek 2:<\/strong><\/span> Veri \u00e7er\u00e7evesi s\u00fctunlar\u0131ndaki ilk eksik olmayan de\u011feri d\u00f6nd\u00fcrmek i\u00e7in coalesce() i\u015flevini kullan\u0131n<\/strong><\/span><\/h2>\n
#create data frame\ndf <- data. frame<\/span> (A=c(10, NA, 5, 6, NA, 7, NA),\n B=c(14, 9, NA, 3, NA, 10, 4))<\/span>\n\n#view data frame\ndf\n\n AB\n1 10 14\n2 NA 9\n3 5 NA\n4 6 3\n5 NA NA\n6 7 10\n7 NA 4\n<\/span><\/span><\/strong><\/span><\/pre>\n library<\/span> (dplyr)\n\n#create new column that coalesces values from columns A and B\ndf$C <- coalesce(df$A, df$B)\n<\/span>\n#view updated data frame\ndf\n\n ABC\n1 10 14 10\n2 NA 9 9\n3 5 NA 5\n4 6 3 6\n5 NA NA NA\n6 7 10 7\n7 NA 4 4<\/span><\/span><\/strong><\/span><\/pre>\n library<\/span> (dplyr)\n\n#create new column that coalesces values from columns A and B\ndf$C <- coalesce(df$A, df$B, 100)\n<\/span>\n#view updated data frame\ndf\n\n ABC\n1 10 14 10\n2 NA 9 9\n3 5 NA 5\n4 6 3 6\n5 NA NA 100\n6 7 10 7\n7 NA 4 4\n<\/span><\/span><\/strong><\/span><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Dplyr kullanarak sat\u0131rlar nas\u0131l d\u00fczenlenir<\/a>
Dplyr kullanarak birden \u00e7ok ko\u015fula g\u00f6re filtreleme nas\u0131l yap\u0131l\u0131r<\/p>\n","protected":false},"excerpt":{"rendered":"