{"id":2440,"date":"2023-07-22T06:42:15","date_gmt":"2023-07-22T06:42:15","guid":{"rendered":"https:\/\/statorials.org\/id\/r-membagi-bingkai-data\/"},"modified":"2023-07-22T06:42:15","modified_gmt":"2023-07-22T06:42:15","slug":"r-membagi-bingkai-data","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/r-membagi-bingkai-data\/","title":{"rendered":"Cara membagi bingkai data di r (dengan contoh)"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan salah satu dari tiga metode berikut untuk membagi bingkai data menjadi beberapa blok data yang lebih kecil di R:<\/span><\/p>\n

Metode 1: Pisahkan bingkai data secara manual berdasarkan nilai baris<\/strong><\/span><\/p>\n

 #define first n rows to include in first data frame<\/span>\nn <- 4\n\n#split data frame into two smaller data frames\n<\/span>df1 <- df[row. names<\/span> (df) %in%<\/span> 1:n, ]\ndf2 <- df[row. names<\/span> (df) %in%<\/span> (n+1):nrow(df), ]\n<\/strong><\/pre>\n
 Metode 2: Bagilah bingkai data menjadi n bingkai data dengan ukuran yang sama<\/strong><\/span><\/p>\n
 #define number of data frames to split into<\/span>\nn <- 3\n\n#split data frame into n equal-sized data frames<\/span>\nsplit(df, factor(sort(rank(row. names<\/span> (df)) %%<\/span> n)))\n<\/strong><\/pre>\n
 Metode 3: Pisahkan bingkai data berdasarkan nilai kolom<\/strong><\/span><\/p>\n
 #split data frame based on particular column value\n<\/span>df1 <- df[df$column_name ==<\/span> 0, ]\ndf2 <- df[df$column_name !=<\/span> 0, ]\n<\/strong><\/pre>\n
 Contoh berikut menunjukkan cara menggunakan setiap metode dalam praktik dengan kerangka data berikut:<\/span><\/p>\n
 #create data frame\n<\/span>df <- data. frame<\/span> (ID=c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12),\n                 sales=c(7, 8, 8, 7, 9, 7, 8, 9, 3, 3, 14, 10),\n                 leads=c(0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0))\n\n#view data frame\n<\/span>df\n\n   Sales lead ID\n1 1 7 0\n2 2 8 0\n3 3 8 1\n4 4 7 1\n5 5 9 0\n6 6 7 1\n7 7 8 1\n8 8 9 0\n9 9 3 1\n10 10 3 0\n11 11 14 1\n12 12 10 0<\/strong><\/pre>\n
 Metode 1: Pisahkan bingkai data secara manual berdasarkan nilai baris<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara membagi bingkai data menjadi dua blok data yang lebih kecil, yang pertama berisi baris 1 hingga 4 dan yang kedua berisi baris 5 hingga baris terakhir:<\/span><\/p>\n
 #define row to split on\nn <- 4\n\n#split into two data frames\n<\/span>df1 <- df[row. names<\/span> (df) %in%<\/span> 1:n, ]\ndf2 <- df[row. names<\/span> (df) %in%<\/span> (n+1):nrow(df), ]\n\n#view resulting data frames\n<\/span>df1\n\n  Sales lead ID\n1 1 7 0\n2 2 8 0\n3 3 8 1\n4 4 7 1\n\ndf2\n\n   Sales lead ID\n5 5 9 0\n6 6 7 1\n7 7 8 1\n8 8 9 0\n9 9 3 1\n10 10 3 0\n11 11 14 1\n12 12 10 0\n<\/span><\/span><\/strong><\/pre>\n
 Metode 2: Bagilah bingkai data menjadi n bingkai data dengan ukuran yang sama<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara membagi bingkai data menjadi n<\/em> bingkai data dengan ukuran yang sama:<\/span><\/p>\n
 #define number of data frames to split into<\/span>\nn <- 3\n\n#split data frame into n equal-sized data frames<\/span>\nsplit(df, factor(sort(rank(row. names<\/span> (df)) %%<\/span> n)))\n\n$`0`\n  Sales lead ID\n1 1 7 0\n2 2 8 0\n3 3 8 1\n4 4 7 1\n\n$`1`\n  Sales lead ID\n5 5 9 0\n6 6 7 1\n7 7 8 1\n8 8 9 0\n\n$`2`\n   Sales lead ID\n9 9 3 1\n10 10 3 0\n11 11 14 1\n12 12 10 0\n<\/strong><\/pre>\n
 Hasilnya adalah tiga bingkai data dengan ukuran yang sama.<\/span><\/p>\n
 Metode 3: Pisahkan bingkai data berdasarkan nilai kolom<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara membagi bingkai data menjadi dua bingkai data berdasarkan nilai kolom tertentu:<\/span><\/p>\n
 #split data frame based on particular column value\n<\/span>df1 <- df[df$leads ==<\/span> 0, ]\ndf2 <- df[df$leads !=<\/span> 0, ]\n\n#view resulting data frames\n<\/span>df1\n\n   Sales lead ID\n1 1 7 0\n2 2 8 0\n5 5 9 0\n8 8 9 0\n10 10 3 0\n12 12 10 0\n\ndf2\n\n   Sales lead ID\n3 3 8 1\n4 4 7 1\n6 6 7 1\n7 7 8 1\n9 9 3 1\n11 11 14 1<\/strong><\/pre>\n
 Perhatikan bahwa df1<\/strong> berisi semua baris dengan “prospek” sama dengan nol dalam bingkai data asli dan df2<\/strong> berisi semua baris dengan “prospek” sama dengan satu dalam bingkai data asli.<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Tutorial berikut menjelaskan cara melakukan operasi umum lainnya di R:<\/span><\/p>\n
 Cara menggabungkan beberapa frame data di R<\/a>
 Cara menumpuk kolom bingkai data di R<\/a>
 Bagaimana cara menambahkan kolom ke bingkai data berdasarkan kolom lain di R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan salah satu dari tiga metode berikut untuk membagi bingkai data menjadi beberapa blok data yang lebih kecil di R: Metode 1: Pisahkan bingkai data secara manual berdasarkan nilai baris #define first n rows to include in first data frame n <- 4 #split data frame into two smaller data frames df1 <- […]<\/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 Membagi Bingkai Data di R (dengan Contoh) \u2013 Statorial<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara membagi blok data menjadi blok data yang lebih kecil 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\/r-membagi-bingkai-data\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara Membagi Bingkai Data di R (dengan Contoh) \u2013 Statorial\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara membagi blok data menjadi blok data yang lebih kecil di R, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/r-membagi-bingkai-data\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T06:42:15+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\/r-membagi-bingkai-data\/\",\"url\":\"https:\/\/statorials.org\/id\/r-membagi-bingkai-data\/\",\"name\":\"Cara Membagi Bingkai Data di R (dengan Contoh) \u2013 Statorial\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-22T06:42:15+00:00\",\"dateModified\":\"2023-07-22T06:42:15+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara membagi blok data menjadi blok data yang lebih kecil di R, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/r-membagi-bingkai-data\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/r-membagi-bingkai-data\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/r-membagi-bingkai-data\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara membagi bingkai 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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