<\/p>\n
Bir veri \u00e7er\u00e7evesine yeni hesaplanm\u0131\u015f de\u011fi\u015fkenler eklemek ve mevcut de\u011fi\u015fkenleri kald\u0131rmak i\u00e7in R’deki transmute()<\/b> i\u015flevini kullanabilirsiniz.<\/span><\/p>\n Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n Bu \u00f6rnekte var1<\/strong> ad\u0131 verilen mevcut bir de\u011fi\u015fkenin 2 ile \u00e7arp\u0131lmas\u0131yla var_new<\/strong> ad\u0131 verilen yeni bir de\u011fi\u015fken olu\u015fturulacakt\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, transmute()<\/strong> i\u015flevinin R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesiyle nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, yeni bir de\u011fi\u015fken olu\u015fturmak i\u00e7in transmute()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Point2<\/strong> de\u011ferleri, nokta s\u00fctununun orijinal de\u011ferlerinin ikiyle \u00e7arp\u0131m\u0131na e\u015fittir.<\/span><\/span><\/p>\n transmute()<\/strong> fonksiyonunun asl\u0131nda orijinal veri \u00e7er\u00e7evesini de\u011fi\u015ftirmedi\u011fini unutmay\u0131n.<\/span><\/p>\n transmute()<\/strong> i\u015flevinin sonu\u00e7lar\u0131n\u0131 yeni bir veri \u00e7er\u00e7evesine kaydetmek i\u00e7in bunlar\u0131 bir de\u011fi\u015fkende saklaman\u0131z gerekir:<\/span><\/p>\n transmute()’<\/strong> un sonu\u00e7lar\u0131 art\u0131k yeni bir veri \u00e7er\u00e7evesinde saklan\u0131yor.<\/span><\/span><\/p>\n A\u015fa\u011f\u0131daki kod, mevcut de\u011fi\u015fkenlerden birden fazla yeni de\u011fi\u015fken olu\u015fturmak i\u00e7in transmute()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n D\u00f6rt yeni de\u011fi\u015fkenin olu\u015fturuldu\u011funu unutmay\u0131n.<\/span><\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Dplyr’de relocate () i\u015flevi nas\u0131l kullan\u0131l\u0131r?<\/a> Bir veri \u00e7er\u00e7evesine yeni hesaplanm\u0131\u015f de\u011fi\u015fkenler eklemek ve mevcut de\u011fi\u015fkenleri kald\u0131rmak i\u00e7in R’deki transmute() i\u015flevini kullanabilirsiniz. Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r: df %>% transmute(var_new = var1 * 2) Bu \u00f6rnekte var1 ad\u0131 verilen mevcut bir de\u011fi\u015fkenin 2 ile \u00e7arp\u0131lmas\u0131yla var_new ad\u0131 verilen yeni bir de\u011fi\u015fken olu\u015fturulacakt\u0131r. A\u015fa\u011f\u0131daki \u00f6rnekler, transmute() i\u015flevinin R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesiyle […]<\/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-3043","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df %>% transmute(var_new = var1 * 2)\n<\/strong><\/pre>\n
#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'B', 'C', 'D', 'E'),\n points=c(99, 90, 86, 88, 95),\n assists=c(33, 28, 31, 39, 34),\n rebounds=c(30, 28, 24, 24, 28))\n\n#view data frame\n<\/span>df\n\n team points assists rebounds\n1 A 99 33 30\n2 B 90 28 28\n3 C 86 31 24\n4 D 88 39 24\n5 E 95 34 28\n<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 1: Yeni bir de\u011fi\u015fken olu\u015fturmak i\u00e7in transmute() i\u015flevini kullan\u0131n<\/strong><\/span><\/h3>\n
library<\/span> (dplyr)\n\n#create new variable called points2<\/span>\ndf %>% transmute(points2 = points * 2)\n\n points2\n1,198\n2,180\n3,172\n4,176\n5,190<\/span><\/span><\/strong><\/pre>\n library<\/span> (dplyr)<\/span>\n\n#store results of transmute in variable\ndf_points2 <- df %>% transmute(points2 = points * 2)\n<\/span>\n#view results\ndf_points2\n\n points2\n1,198\n2,180\n3,172\n4,176\n5,190<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 2: Birden fazla yeni de\u011fi\u015fken olu\u015fturmak i\u00e7in transmute() i\u015flevini kullan\u0131n<\/strong><\/span><\/h3>\n
library<\/span> (dplyr)\n\n#create multiple new variables\n<\/span>df %>%\n transmute(\n points2 = points * 2,\n rebounds_squared = rebounds^2,\n assists_half = assists\/2,\n team_name= paste0(' team_<\/span> ', team)\n)\n\n points2 rebounds_squared assists_half team_name\n1,198,900 16.5 team_A\n2 180 784 14.0 team_B\n3 172 576 15.5 team_C\n4 176 576 19.5 team_D\n5 190 784 17.0 team_E\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Dplyr’de dilim () i\u015flevi nas\u0131l kullan\u0131l\u0131r?<\/a>
Dplyr’de sat\u0131r numaras\u0131na g\u00f6re filtreleme nas\u0131l yap\u0131l\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"