{"id":2516,"date":"2023-07-21T22:43:02","date_gmt":"2023-07-21T22:43:02","guid":{"rendered":"https:\/\/statorials.org\/id\/pengelompokan-data-di-r\/"},"modified":"2023-07-21T22:43:02","modified_gmt":"2023-07-21T22:43:02","slug":"pengelompokan-data-di-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/pengelompokan-data-di-r\/","title":{"rendered":"Cara melakukan pengelompokan data di r: dengan contoh"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan salah satu dari dua metode untuk melakukan pengelompokan data di R:<\/span><\/p>\n

Metode 1: gunakan fungsi cut()<\/strong><\/span><\/p>\n

 library<\/span> (dplyr)\n\n#perform binning with custom breaks<\/span>\ndf %>% mutate(new_bin = cut(variable_name, breaks=c(0, 10, 20, 30)))\n\n#perform binning with specific number of bins\n<\/span>df %>% mutate(new_bin = cut(variable_name, breaks= 3<\/span> ))\n<\/strong><\/pre>\n
 Metode 2: gunakan fungsi ntile()<\/strong><\/span><\/p>\n
 library<\/span> (dplyr)\n\n#perform binning with specific number of bins<\/span>\ndf %>% mutate(new_bin = ntile(variable_name, n= 3<\/span> ))\n<\/strong><\/pre>\n
 Contoh berikut menunjukkan cara menggunakan setiap metode dalam praktik dengan kerangka data berikut:<\/span><\/p>\n
 #create data frame\ndf <- data. frame<\/span> (points=c(4, 4, 7, 8, 12, 13, 15, 18, 22, 23, 23, 25),\n                 assists=c(2, 5, 4, 7, 7, 8, 5, 4, 5, 11, 13, 8),\n                 rebounds=c(7, 7, 4, 6, 3, 8, 9, 9, 12, 11, 8, 9))\n\n#view head of data frame\n<\/span>head(df)\n\n  points assists rebounds\n1 4 2 7\n2 4 5 7\n3 7 4 4\n4 8 7 6\n5 12 7 3\n6 13 8 8<\/span><\/span><\/strong><\/pre>\n
 Contoh 1: Lakukan pengelompokan data dengan fungsi cut()<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara melakukan pengelompokan data pada variabel poin<\/strong> menggunakan fungsi cut()<\/strong> dengan tanda putus tertentu:<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#perform data binning on variable points<\/em>\n<\/span>df %>% mutate(points_bin = cut(points, breaks=c(0, 10, 20, 30)))\n\n   points assists rebounds points_bin\n1 4 2 7 (0.10]\n2 4 5 7 (0.10]\n3 7 4 4 (0.10]\n4 8 7 6 (0.10]\n5 12 7 3 (10.20]\n6 13 8 8 (10.20]\n7 15 5 9 (10.20]\n8 18 4 9 (10.20]\n9 22 5 12 (20.30]\n10 23 11 11 (20.30]\n11 23 13 8 (20.30]\n12 25 8 9 (20.30]\n<\/span><\/span><\/strong><\/pre>\n
 Perhatikan bahwa setiap baris dalam bingkai data telah ditempatkan ke dalam salah satu dari tiga kelompok berdasarkan nilai kolom titik.<\/span><\/p>\n
 Kita juga bisa menentukan jumlah lompatan yang digunakan untuk membuat kotak dengan lebar yang sama mulai dari nilai minimum ke nilai maksimum kolom poin<\/strong> :<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#perform data binning on variable points<\/em>\n<\/span>df %>% mutate(points_bin = cut(points, breaks= 3<\/span> ))\n\n   points assists rebounds points_bin\n1 4 2 7 (3.98.11]\n2 4 5 7 (3.98.11]\n3 7 4 4 (3.98.11]\n4 8 7 6 (3.98.11]\n5 12 7 3 (11.18]\n6 13 8 8 (11.18]\n7 15 5 9 (11.18]\n8 18 4 9 (11.18]\n9 22 5 12 (18.25]\n10 23 11 11 (18.25]\n11 23 13 8 (18.25]\n12 25 8 9 (18.25]\n<\/span><\/span><\/strong><\/pre>\n
 Contoh 2:<\/strong><\/span> Lakukan pengelompokan data dengan fungsi ntile()<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara melakukan pengelompokan data pada variabel poin<\/strong> menggunakan fungsi ntile()<\/strong> dengan jumlah grup hasil tertentu:<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#perform data binning on variable points<\/em>\n<\/span>df %>% mutate(points_bin = ntile(points, n= 3<\/span> ))\n\n   points assists rebounds points_bin\n1 4 2 7 1\n2 4 5 7 1\n3 7 4 4 1\n4 8 7 6 1\n5 12 7 3 2\n6 13 8 8 2\n7 15 5 9 2\n8 18 4 9 2\n9 22 5 12 3\n10 23 11 11 3\n11 23 13 8 3\n12 25 8 9 3\n<\/span><\/span><\/strong><\/pre>\n
 Perhatikan bahwa setiap baris telah diberi kotak dari 1 hingga 3 berdasarkan nilai kolom poin<\/strong> .<\/span><\/p>\n
 Yang terbaik adalah menggunakan fungsi ntile()<\/strong> ketika Anda ingin nilai integer ditampilkan di setiap baris daripada interval yang menunjukkan rentang bin.<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Tutorial berikut menjelaskan cara melakukan tugas umum lainnya di R:<\/span><\/p>\n
 Cara mengganti nilai secara kondisional dalam bingkai data di R<\/a>
 Cara menghitung mean terpangkas di R<\/a>
 Cara menghitung mean bersyarat di R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan salah satu dari dua metode untuk melakukan pengelompokan data di R: Metode 1: gunakan fungsi cut() library (dplyr) #perform binning with custom breaks df %>% mutate(new_bin = cut(variable_name, breaks=c(0, 10, 20, 30))) #perform binning with specific number of bins df %>% mutate(new_bin = cut(variable_name, breaks= 3 )) Metode 2: gunakan fungsi ntile() […]<\/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 melakukan pengelompokan data di R (dengan contoh) - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara melakukan pengelompokan data 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\/pengelompokan-data-di-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara melakukan pengelompokan data di R (dengan contoh) - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara melakukan pengelompokan data di R, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/pengelompokan-data-di-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-21T22:43:02+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=\"2 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/pengelompokan-data-di-r\/\",\"url\":\"https:\/\/statorials.org\/id\/pengelompokan-data-di-r\/\",\"name\":\"Cara melakukan pengelompokan data di R (dengan contoh) - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-21T22:43:02+00:00\",\"dateModified\":\"2023-07-21T22:43:02+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara melakukan pengelompokan data di R, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/pengelompokan-data-di-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/pengelompokan-data-di-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/pengelompokan-data-di-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara melakukan pengelompokan data 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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