{"id":958,"date":"2023-07-28T04:47:06","date_gmt":"2023-07-28T04:47:06","guid":{"rendered":"https:\/\/statorials.org\/id\/frekuensi-relatif-dplyr\/"},"modified":"2023-07-28T04:47:06","modified_gmt":"2023-07-28T04:47:06","slug":"frekuensi-relatif-dplyr","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/frekuensi-relatif-dplyr\/","title":{"rendered":"Cara menghitung frekuensi relatif menggunakan dplyr"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Seringkali Anda mungkin ingin menghitung frekuensi relatif\/proporsi nilai dalam satu atau lebih kolom bingkai data di R.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Untungnya, hal ini mudah dilakukan dengan menggunakan fungsi dalam paket <a href=\"https:\/\/dplyr.tidyverse.org\/\" target=\"_blank\" rel=\"noopener noreferrer\">dplyr<\/a> . Tutorial ini menunjukkan cara menggunakan fungsi ini untuk menghitung frekuensi relatif pada bingkai data berikut:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame<\/span>\ndf &lt;- data.frame(team = c('A', 'A', 'A', 'B', 'B', 'B', 'B'),\n                 position = c('G', 'F', 'F', 'G', 'G', 'G', 'F'),\n                 points = c(12, 15, 19, 22, 32, 34, 39))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n  team position points\n1 AG 12\n2 AF15\n3 FY 19\n4 BG 22\n5 BG 32\n6 BG 34\n7 BF 39\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 1: Frekuensi relatif suatu variabel<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghitung frekuensi relatif setiap tim dalam bingkai data:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>library(dplyr)\n\ndf %&gt;%\n  <span style=\"color: #3366ff;\">group_by<\/span> (team) %&gt;%\n  <span style=\"color: #3366ff;\">summarize<\/span> (n = n()) %&gt;%\n  <span style=\"color: #3366ff;\">mutate<\/span> (freq = n \/ sum(n))\n\n# A tibble: 2 x 3\n  team n freq\n    \n1 to 3 0.429\n2 B 4 0.571\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Ini memberitahu kita bahwa Tim A menyumbang 42,9% dari seluruh baris dalam bingkai data sementara Tim B menyumbang 57,1% baris sisanya. Perhatikan bahwa jika digabungkan, jumlahnya mencapai 100%.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Terkait:<\/strong> <a href=\"https:\/\/statorials.org\/id\/data-resume-grup-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">Panduan Lengkap: Cara Mengelompokkan dan Meringkas Data di R<\/a><\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 2: Frekuensi relatif beberapa variabel<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghitung frekuensi relatif posisi <em>per<\/em> tim:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>library(dplyr)\n\ndf %&gt;%\n  <span style=\"color: #3366ff;\">group_by<\/span> (team, position) %&gt;%\n  <span style=\"color: #3366ff;\">summarize<\/span> (n = n()) %&gt;%\n  <span style=\"color: #3366ff;\">mutate<\/span> (freq = n \/ sum(n))\n\n# A tibble: 4 x 4\n# Groups: team [2]\n  team position n freq\n       \n1 AF 2 0.667\n2 AG 1 0.333\n3 BF 1 0.250\n4 BG 3 0.750\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Ini memberitahu kita bahwa:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">66,7% pemain tim A berada di posisi F.<\/span><\/li>\n<li> <span style=\"color: #000000;\">33,3% pemain tim A berada di posisi G.<\/span><\/li>\n<li> <span style=\"color: #000000;\">25,0% pemain tim A berada di posisi F.<\/span><\/li>\n<li> <span style=\"color: #000000;\">75,0% pemain tim B berada di posisi G.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>Terkait:<\/strong> <a href=\"https:\/\/statorials.org\/id\/cara-menggunakan-mutate-untuk-membuat-variabel-baru-di-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">Cara Menggunakan Mutate untuk Membuat Variabel Baru di R<\/a><\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 3: Tampilkan frekuensi relatif sebagai persentase<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghitung frekuensi relatif posisi berdasarkan tim dan cara menampilkan frekuensi relatif ini sebagai persentase:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>library(dplyr)\n\ndf %&gt;%\n  <span style=\"color: #3366ff;\">group_by<\/span> (team, position) %&gt;%\n  <span style=\"color: #3366ff;\">summarize<\/span> (n = n()) %&gt;%\n  <span style=\"color: #3366ff;\">mutate<\/span> (freq = paste0(round(100 * n\/sum(n), 0), ' <span style=\"color: #008000;\">%<\/span> '))\n\n# A tibble: 4 x 4\n# Groups: team [2]\n  team position n freq \n       \n1 AF 2 67%  \n2 GA 1 33%  \n3 BF 1 25%  \n4 BG 3 75%<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><em>Anda dapat menemukan lebih banyak tutorial R di sini .<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Seringkali Anda mungkin ingin menghitung frekuensi relatif\/proporsi nilai dalam satu atau lebih kolom bingkai data di R. Untungnya, hal ini mudah dilakukan dengan menggunakan fungsi dalam paket dplyr . Tutorial ini menunjukkan cara menggunakan fungsi ini untuk menghitung frekuensi relatif pada bingkai data berikut: #create data frame df &lt;- data.frame(team = c(&#8216;A&#8217;, &#8216;A&#8217;, &#8216;A&#8217;, &#8216;B&#8217;, [&hellip;]<\/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":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Cara menghitung frekuensi relatif menggunakan dplyr - Statorials<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang cara menghitung frekuensi relatif dalam bingkai data di R menggunakan paket dplyr.\" \/>\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\/frekuensi-relatif-dplyr\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghitung frekuensi relatif menggunakan dplyr - Statorials\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang cara menghitung frekuensi relatif dalam bingkai data di R menggunakan paket dplyr.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/frekuensi-relatif-dplyr\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T04:47:06+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\/frekuensi-relatif-dplyr\/\",\"url\":\"https:\/\/statorials.org\/id\/frekuensi-relatif-dplyr\/\",\"name\":\"Cara menghitung frekuensi relatif menggunakan dplyr - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-28T04:47:06+00:00\",\"dateModified\":\"2023-07-28T04:47:06+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang cara menghitung frekuensi relatif dalam bingkai data di R menggunakan paket dplyr.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/frekuensi-relatif-dplyr\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/frekuensi-relatif-dplyr\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/frekuensi-relatif-dplyr\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung frekuensi relatif menggunakan dplyr\"}]},{\"@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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