{"id":1976,"date":"2023-07-24T05:52:50","date_gmt":"2023-07-24T05:52:50","guid":{"rendered":"https:\/\/statorials.org\/id\/subset-bingkai-data-di-r\/"},"modified":"2023-07-24T05:52:50","modified_gmt":"2023-07-24T05:52:50","slug":"subset-bingkai-data-di-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/subset-bingkai-data-di-r\/","title":{"rendered":"Cara subset bingkai data di r (4 contoh)"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan sintaks dasar berikut untuk membuat subset bingkai data di R:<\/span><\/p>\n

 df[rows, columns]<\/strong><\/pre>\n
 Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya dengan bingkai data berikut:<\/span><\/p>\n
 #create data frame<\/span>\ndf <- data. frame<\/span> (team=c('A', 'A', 'B', 'B', 'C', 'C', 'C'),\n                 points=c(77, 81, 89, 83, 99, 92, 97),\n                 assists=c(19, 22, 29, 15, 32, 39, 14))\n\n#view data frame<\/span>\ndf\n\n  team points assists\n1 A 77 19\n2 A 81 22\n3 B 89 29\n4 B 83 15\n5 C 99 32\n6 C 92 39\n7 C 97 14\n<\/strong><\/pre>\n
 Contoh 1: Subset bingkai data dengan memilih kolom<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara mengelompokkan bingkai data berdasarkan nama kolom:<\/span><\/p>\n
 #select all rows for columns 'team' and 'assists'\ndf[, c(' team<\/span> ', ' assists<\/span> ')]<\/span>\n<\/span>\n  team assists\n1 to 19\n2 to 22\n3 B 29\n4 B 15\n5 C 32\n6 C 39\n7 C 14\n<\/strong><\/pre>\n
 Kita juga dapat mengelompokkan bingkai data berdasarkan nilai indeks kolom:<\/span><\/p>\n
 #select all rows for columns 1 and 3\ndf[, c(1, 3)]\n<\/span><\/span>\n  team assists\n1 to 19\n2 to 22\n3 B 29\n4 B 15\n5 C 32\n6 C 39\n7 C 14<\/strong><\/pre>\n
 Contoh 2: Subset bingkai data tidak termasuk kolom<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara membuat subset bingkai data dengan mengecualikan nama kolom tertentu:<\/span><\/p>\n
 #define columns to exclude\ncols <- names(df) %in%<\/span> c(' points<\/span> ')<\/span>\n\n#exclude points column<\/span>\ndf[!cols]<\/span>\n<\/span>\n  team assists\n1 to 19\n2 to 22\n3 B 29\n4 B 15\n5 C 32\n6 C 39\n7 C 14\n<\/strong><\/pre>\n
 Kami juga dapat mengecualikan kolom menggunakan nilai indeks<\/span><\/p>\n
 #exclude column 2\ndf[, c(-2)]\n<\/span><\/span>\n  team assists\n1 to 19\n2 to 22\n3 B 29\n4 B 15\n5 C 32\n6 C 39\n7 C 14<\/strong><\/pre>\n
 Contoh 3: Subset bingkai data dengan memilih baris<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara mengelompokkan bingkai data berdasarkan baris tertentu:<\/span><\/p>\n
 #select rows 1, 5, and 7<\/span>\ndf[c(1, 5, 7), ]\n\n  team points assists\n1 A 77 19\n5 C 99 32\n7 C 97 14<\/span>\n<\/strong><\/pre>\n
 Kita juga dapat mengelompokkan bingkai data dengan memilih rentang baris:<\/span><\/p>\n
 #select rows 1 through 5<\/span>\ndf[1:5, ]\n\n  team points assists\n1 A 77 19\n2 A 81 22\n3 B 89 29\n4 B 83 15\n5 C 99 32<\/span><\/strong><\/pre>\n
 Contoh 4: Subset bingkai data berdasarkan kondisi<\/strong><\/h3>\n
 Kode berikut menunjukkan cara menggunakan fungsi subset()<\/strong> untuk memilih baris dan kolom yang memenuhi kondisi tertentu:<\/span><\/p>\n
 #select rows where points is greater than 90\nsubset(df, points > 90)\n\n  team points assists\n5 C 99 32\n6 C 92 39\n7 C 97 14\n<\/span><\/span><\/strong><\/pre>\n
 Kita juga dapat menggunakan |<\/strong> Operator (\u201catau\u201d) untuk memilih baris yang memenuhi salah satu ketentuan berikut:<\/span><\/span><\/p>\n
 #select rows where points is greater than 90 or less than 80\nsubset(df, points > 90 | points < 80)\n\n  team points assists\n1 A 77 19\n5 C 99 32\n6 C 92 39\n7 C 97 14<\/span><\/span><\/strong><\/pre>\n
 Kita juga dapat menggunakan operator &<\/strong> (\u201cdan\u201d) untuk memilih baris yang memenuhi beberapa kondisi:<\/span><\/p>\n
 #select rows where points is greater than 90 and<\/em> assists is greater than 30\nsubset(df, points > 90 & assists > 30)\n\n  team points assists\n5 C 99 32\n6 C 92 39<\/span><\/span><\/strong><\/pre>\n
 Kita juga bisa menggunakan argumen pilih untuk memilih kolom tertentu saja berdasarkan kondisi:<\/span><\/p>\n
 #select rows where points is greater than 90 and only show 'team' column\nsubset(df, points > 90, select=c(' team<\/span> '))\n\n  team\n5C\n6C\n7C<\/span><\/span><\/strong><\/pre>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Cara menghapus baris dari bingkai data di R berdasarkan kondisi<\/a>
 Bagaimana cara mengganti nilai dalam bingkai data di R<\/a>
 Cara menghapus kolom dari bingkai data di R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan sintaks dasar berikut untuk membuat subset bingkai data di R: df[rows, columns] Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya dengan bingkai data berikut: #create data frame df <- data. frame (team=c(‘A’, ‘A’, ‘B’, ‘B’, ‘C’, ‘C’, ‘C’), points=c(77, 81, 89, 83, 99, 92, 97), assists=c(19, 22, 29, 15, 32, 39, […]<\/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 membuat subset bingkai data di R (4 contoh) - Statologi<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara membuat subset bingkai 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\/subset-bingkai-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 membuat subset bingkai data di R (4 contoh) - Statologi\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara membuat subset bingkai data di R, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/subset-bingkai-data-di-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T05:52:50+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\/subset-bingkai-data-di-r\/\",\"url\":\"https:\/\/statorials.org\/id\/subset-bingkai-data-di-r\/\",\"name\":\"Cara membuat subset bingkai data di R (4 contoh) - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-24T05:52:50+00:00\",\"dateModified\":\"2023-07-24T05:52:50+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara membuat subset bingkai data di R, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/subset-bingkai-data-di-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/subset-bingkai-data-di-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/subset-bingkai-data-di-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara subset bingkai data di r (4 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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