{"id":3043,"date":"2023-07-19T12:05:33","date_gmt":"2023-07-19T12:05:33","guid":{"rendered":"https:\/\/statorials.org\/id\/transmutasi-r-dplyr\/"},"modified":"2023-07-19T12:05:33","modified_gmt":"2023-07-19T12:05:33","slug":"transmutasi-r-dplyr","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/transmutasi-r-dplyr\/","title":{"rendered":"Cara menggunakan fungsi transmutasi dplyr di r (dengan contoh)"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan fungsi transmute()<\/b> di R untuk menambahkan variabel terhitung baru ke bingkai data dan menghapus variabel yang ada.<\/span><\/p>\n

Fungsi ini menggunakan sintaks dasar berikut:<\/span><\/p>\n

 df %>% transmute(var_new = var1 * 2)\n<\/strong><\/pre>\n
 Dalam contoh ini, variabel baru bernama var_new<\/strong> akan dibuat dengan mengalikan variabel yang sudah ada bernama var1<\/strong> dengan 2.<\/span><\/p>\n
 Contoh berikut menunjukkan cara menggunakan fungsi transmute()<\/strong> dengan bingkai data berikut di R:<\/span><\/p>\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
 Contoh 1: Gunakan transmute() untuk membuat variabel baru<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara menggunakan transmute()<\/strong> untuk membuat variabel baru:<\/span><\/p>\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
 Nilai titik2<\/strong> sama dengan nilai asli kolom titik dikalikan dua.<\/span><\/span><\/p>\n
 Perhatikan bahwa fungsi transmute()<\/strong> sebenarnya tidak mengubah bingkai data asli.<\/span><\/p>\n
 Untuk menyimpan hasil fungsi transmute()<\/strong> dalam bingkai data baru, Anda harus menyimpannya dalam sebuah variabel:<\/span><\/p>\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
 Hasil transmute()<\/strong> kini disimpan dalam bingkai data baru.<\/span><\/span><\/p>\n
 Contoh 2: Gunakan transmute() untuk membuat beberapa variabel baru<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara menggunakan transmute()<\/strong> untuk membuat beberapa variabel baru dari variabel yang sudah ada:<\/span><\/p>\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
 Perhatikan bahwa empat variabel baru telah dibuat.<\/span><\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Tutorial berikut menjelaskan cara melakukan operasi umum lainnya di R:<\/span><\/p>\n
 Cara menggunakan fungsi relokasi() di dplyr<\/a>
 Cara menggunakan fungsi irisan() di dplyr<\/a>
 Cara memfilter berdasarkan nomor baris di dplyr<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan fungsi transmute() di R untuk menambahkan variabel terhitung baru ke bingkai data dan menghapus variabel yang ada. Fungsi ini menggunakan sintaks dasar berikut: df %>% transmute(var_new = var1 * 2) Dalam contoh ini, variabel baru bernama var_new akan dibuat dengan mengalikan variabel yang sudah ada bernama var1 dengan 2. Contoh berikut menunjukkan […]<\/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":[],"yoast_head":"\nCara menggunakan fungsi transmutasi dplyr di R (dengan contoh) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menggunakan fungsi transmute dari paket dplyr di R, dengan beberapa contoh.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/id\/transmutasi-r-dplyr\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menggunakan fungsi transmutasi dplyr di R (dengan contoh) \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menggunakan fungsi transmute dari paket dplyr di R, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/transmutasi-r-dplyr\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-19T12:05:33+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/transmutasi-r-dplyr\/\",\"url\":\"https:\/\/statorials.org\/id\/transmutasi-r-dplyr\/\",\"name\":\"Cara menggunakan fungsi transmutasi dplyr di R (dengan contoh) \u2013 Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-19T12:05:33+00:00\",\"dateModified\":\"2023-07-19T12:05:33+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menggunakan fungsi transmute dari paket dplyr di R, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/transmutasi-r-dplyr\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/transmutasi-r-dplyr\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/transmutasi-r-dplyr\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menggunakan fungsi transmutasi dplyr di r (dengan contoh)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. 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