<\/p>\n
dplyr<\/a> if_else()<\/strong> fonksiyonunun, R base ifelse()<\/strong> fonksiyonuna g\u00f6re \u00fc\u00e7 avantaj\u0131 vard\u0131r:<\/span><\/span><\/p>\n 1.<\/strong> if_else()<\/strong> i\u015flevi, if else ifadesindeki iki alternatifin ayn\u0131 veri t\u00fcr\u00fcne sahip olup olmad\u0131\u011f\u0131n\u0131 kontrol eder.<\/span><\/p>\n 2.<\/strong> if_else()<\/strong> i\u015flevi Date nesnelerini say\u0131sala d\u00f6n\u00fc\u015ft\u00fcrmez.<\/span><\/p>\n 3.<\/strong> if_else()<\/strong> i\u015flevi, NA de\u011ferlerinin nas\u0131l i\u015flenece\u011fini belirtmek i\u00e7in “eksik” bir arg\u00fcman sunar.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler uygulamadaki bu farkl\u0131l\u0131klar\u0131 g\u00f6stermektedir.<\/span><\/p>\n R’de \u00e7e\u015fitli basketbol oyuncular\u0131 hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Tak\u0131m de\u011feri “A” olan sat\u0131rlara “Atlanta” de\u011ferini, farkl\u0131 de\u011fere sahip sat\u0131rlara ise 0 de\u011ferini atayan yeni bir s\u00fctun olu\u015fturmak i\u00e7in R base ifelse()<\/strong> fonksiyonunu kullan\u0131rsak herhangi bir hata almayaca\u011f\u0131z. \u201cAtlanta\u201d bir karakter ve 0 bir say\u0131 olmas\u0131na ra\u011fmen:<\/span><\/span><\/p>\n Ancak ayn\u0131 g\u00f6revi ger\u00e7ekle\u015ftirmek i\u00e7in dplyr’\u0131n if_else()<\/strong> i\u015flevini kullan\u0131rsak, if else ifadesinde iki farkl\u0131 veri t\u00fcr\u00fc kulland\u0131\u011f\u0131m\u0131z\u0131 bildiren bir hata al\u0131r\u0131z:<\/span><\/p>\n R’de bir ma\u011fazada farkl\u0131 tarihlerde yap\u0131lan sat\u0131\u015flar\u0131 g\u00f6steren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Tarih s\u00fctununun de\u011ferlerini de\u011fi\u015ftirmek i\u00e7in R base ifelse()<\/strong> fonksiyonunu kullan\u0131rsak, de\u011ferler otomatik olarak say\u0131sala d\u00f6n\u00fc\u015ft\u00fcr\u00fclecektir:<\/span><\/p>\n Ancak dplyr’\u0131n if_else()<\/strong> i\u015flevini kullan\u0131rsak tarih nesneleri tarih olarak kalacakt\u0131r:<\/span><\/span><\/p>\n R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Yeni bir s\u00fctun olu\u015fturmak i\u00e7in R base ifelse()<\/strong> i\u015flevini kullan\u0131rsak, NA de\u011ferlerinin nas\u0131l i\u015flenece\u011fini belirtmek i\u00e7in varsay\u0131lan bir se\u00e7enek yoktur:<\/span><\/p>\n Ancak dplyr’\u0131n if_else()<\/strong> i\u015flevini kullan\u0131rsak NA de\u011ferlerinin nas\u0131l i\u015flenece\u011fini belirtmek i\u00e7in eksik<\/strong> arg\u00fcman\u0131 kullanabiliriz:<\/span><\/p>\n Tak\u0131m<\/strong> s\u00fctununda NA de\u011feri bulunan sat\u0131r\u0131n, yeni \u015fehir s\u00fctununda<\/strong> “di\u011fer” de\u011ferini ald\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/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 birden \u00e7ok ko\u015fulla If ifadesi nas\u0131l kullan\u0131l\u0131r? dplyr if_else() fonksiyonunun, R base ifelse() fonksiyonuna g\u00f6re \u00fc\u00e7 avantaj\u0131 vard\u0131r: 1. if_else() i\u015flevi, if else ifadesindeki iki alternatifin ayn\u0131 veri t\u00fcr\u00fcne sahip olup olmad\u0131\u011f\u0131n\u0131 kontrol eder. 2. if_else() i\u015flevi Date nesnelerini say\u0131sala d\u00f6n\u00fc\u015ft\u00fcrmez. 3. if_else() i\u015flevi, NA de\u011ferlerinin nas\u0131l i\u015flenece\u011fini belirtmek i\u00e7in “eksik” bir arg\u00fcman sunar. A\u015fa\u011f\u0131daki \u00f6rnekler uygulamadaki bu farkl\u0131l\u0131klar\u0131 g\u00f6stermektedir. \u00d6rnek 1: […]<\/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-3908","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n \u00d6rnek 1: if_else(), iki alternatifin ayn\u0131 t\u00fcrde olup olmad\u0131\u011f\u0131n\u0131 kontrol eder<\/strong><\/span><\/h2>\n
#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'),\n points=c(22, 20, 28, 14, 13, 18, 27, 33))\n\n#view data frame\n<\/span>df\n\n team points\n1 to 22\n2 to 20\n3 to 28\n4 to 14\n5 B 13\n6 B 18\n7 B 27\n8 B 33<\/strong><\/pre>\n #create new column based on values in team column\n<\/span>df$city <- ifelse(df$team ==<\/span> ' A<\/span> ', ' Atlanta<\/span> ', 0)\n\n#view updated data frame\n<\/span>df\n\n team points city\n1 to 22 Atlanta\n2 to 20 Atlanta\n3 to 28 Atlanta\n4 A 14 Atlanta\n5 B 13 0\n6 B 18 0\n7 B 27 0\n8 B 33 0\n<\/strong><\/pre>\n library<\/span> (dplyr)<\/span>\n\n#attempt to create new column based on values in team column\n<\/span>df$city <- if_else(df$team ==<\/span> ' A<\/span> ', ' Atlanta<\/span> ', 0)\n\nError: `false` must be a character vector, not a double vector.\n<\/strong><\/pre>\n \u00d6rnek 2: if_else(), tarih nesnelerini say\u0131sal de\u011ferlere d\u00f6n\u00fc\u015ft\u00fcrmez<\/span><\/strong><\/h2>\n
#create data frame\n<\/span>df <- data. frame<\/span> (date=as. Date<\/span> (c('2022-01-05', '2022-01-17', '2022-01-22',\n '2022-01-23', '2022-01-29', '2022-02-13')),\n sales=c(22, 35, 24, 20, 16, 19))\n\n#view data frame\n<\/span>df\n\n dirty date\n1 2022-01-05 22\n2 2022-01-17 35\n3 2022-01-22 24\n4 2022-01-23 20\n5 2022-01-29 16\n6 2022-02-13 19\n<\/strong><\/pre>\n #if date is before 2022-01-20 then add 5 days\n<\/span>df$date <- ifelse(df$date < ' 2022-01-20<\/span> ', df$date+ 5<\/span> , df$date)\n\n dirty date\n1 19002 22\n2 19014 35\n3 19014 24\n4 19015 20\n5 19021 16\n6 19036 19\n<\/strong><\/pre>\n library<\/span> (dplyr)<\/span>\n\n#if date is before 2022-01-20 then add 5 days\n<\/span>df$date <- ifelse(df$date < ' 2022-01-20<\/span> ', df$date+ 5<\/span> , df$date)\n\n#view updated data frame<\/span>\ndf\n\n dirty date\n1 2022-01-10 22\n2 2022-01-22 35\n3 2022-01-22 24\n4 2022-01-23 20\n5 2022-01-29 16\n6 2022-02-13 19\n<\/strong><\/pre>\n \u00d6rnek 3: if_else(), NA de\u011ferlerinin nas\u0131l i\u015flenece\u011fini belirtmek i\u00e7in “eksik” bir arg\u00fcman sunar<\/span><\/strong><\/h2>\n
#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', NA, 'B'),\n points=c(22, 20, 28, 14, 13, 18, 27, 33))\n\n#view data frame\n<\/span>df\n\n team points\n1 to 22\n2 to 20\n3 to 28\n4 to 14\n5 B 13\n6 B 18\n7 <NA> 27\n8 B 33<\/strong><\/pre>\n #create new column based on values in team column\ndf$city <- ifelse(df$team ==<\/span> ' A<\/span> ', ' Atlanta<\/span> ', ' Boston<\/span> ')\n\n#view updated data frame<\/span>\ndf\n\n team points city\n1 to 22 Atlanta\n2 to 20 Atlanta\n3 to 28 Atlanta\n4 A 14 Atlanta\n5 B 13 Boston\n6 B 18 Boston\n7 <NA> 27 <NA>\n8 B 33 Boston\n<\/span><\/span><\/strong><\/pre>\n library<\/span> (dplyr)<\/span>\n\n#create new column based on values in team column\ndf$city <- ifelse(df$team ==<\/span> ' A<\/span> ', ' Atlanta<\/span> ', ' Boston<\/span> ', missing=' other<\/span> ')\n\n#view updated data frame\n<\/span>df\n\n team points city\n1 to 22 Atlanta\n2 to 20 Atlanta\n3 to 28 Atlanta\n4 A 14 Atlanta\n5 B 13 Boston\n6 B 18 Boston\n7 <NA> 27 other\n8 B 33 Boston\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
R’de i\u00e7 i\u00e7e ge\u00e7mi\u015f If Else ifadesi nas\u0131l yaz\u0131l\u0131r?<\/a>
R’de ilk tryCatch() fonksiyonunuzu nas\u0131l yazars\u0131n\u0131z?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"