{"id":1867,"date":"2023-07-24T16:25:56","date_gmt":"2023-07-24T16:25:56","guid":{"rendered":"https:\/\/statorials.org\/id\/r-menerapkan-fungsi-ke-setiap-baris\/"},"modified":"2023-07-24T16:25:56","modified_gmt":"2023-07-24T16:25:56","slug":"r-menerapkan-fungsi-ke-setiap-baris","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/r-menerapkan-fungsi-ke-setiap-baris\/","title":{"rendered":"Cara menerapkan fungsi ke setiap baris matriks atau bingkai data di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Anda dapat menggunakan fungsi <strong>apply()<\/strong> untuk menerapkan fungsi ke setiap baris matriks atau bingkai data di R.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Fungsi ini menggunakan sintaks dasar berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>terapkan (X, MARGIN, MENYENANGKAN)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Emas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>X :<\/strong> Nama matriks atau blok data.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>MARGIN:<\/strong> Dimensi untuk melakukan operasi. Gunakan 1 untuk baris, 2 untuk kolom.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>FUN:<\/strong> Fungsi untuk diterapkan.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya.<\/span><\/p>\n<h3> <strong>Contoh 1: menerapkan fungsi ke setiap baris matriks<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Misalkan kita memiliki matriks berikut di R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create matrix\n<span style=\"color: #000000;\">mat &lt;- matrix(1:15, nrow= <span style=\"color: #008000;\">3<\/span> )<\/span><\/span>\n\n<span style=\"color: #008080;\">#view matrix\n<\/span>mast\n\n     [,1] [,2] [,3] [,4] [,5]\n[1,] 1 4 7 10 13\n[2,] 2 5 8 11 14\n[3,] 3 6 9 12 15\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan fungsi <strong>apply()<\/strong> untuk menerapkan fungsi yang berbeda pada baris matriks:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find mean of each row\n<\/span><span style=\"color: #000000;\">apply(mat, 1, mean)\n\n[1] 7 8 9\n<\/span>\n<span style=\"color: #008080;\">#find sum of each row\n<\/span>apply(mat, 1, sum)\n\n[1] 35 40 45\n\n<span style=\"color: #008080;\">#find standard deviation of each row<\/span>\napply(mat, 1, sd)\n\n[1] 4.743416 4.743416 4.743416\n\n<span style=\"color: #008080;\">#multiply the value in each row by 2 (using t() to transpose the results)<\/span>\nt(apply(mat, 1, <span style=\"color: #008000;\">function<\/span> (x) x * 2))\n\n     [,1] [,2] [,3] [,4] [,5]\n[1,] 2 8 14 20 26\n[2,] 4 10 16 22 28\n[3,] 6 12 18 24 30\n\n<span style=\"color: #008080;\">#normalize every row to 1 (using t() to transpose the results)\n<\/span>t(apply(mat, 1, <span style=\"color: #008000;\">function<\/span> (x) x \/ sum(x) ))\n\n           [,1] [,2] [,3] [,4] [,5]\n[1,] 0.02857143 0.1142857 0.2 0.2857143 0.3714286\n[2,] 0.05000000 0.1250000 0.2 0.2750000 0.3500000\n[3,] 0.06666667 0.1333333 0.2 0.2666667 0.3333333<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa jika Anda ingin mencari rata-rata atau jumlah setiap baris, akan lebih cepat jika menggunakan fungsi <strong>rowMeans()<\/strong> atau <strong>rowSums()<\/strong> bawaan:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find mean of each row\n<\/span><span style=\"color: #000000;\">rowMeans(mat)\n\n[1] 7 8 9\n<\/span>\n<span style=\"color: #008080;\">#find sum of each row\n<\/span>rowSums(mat)\n\n[1] 35 40 45<\/strong><\/pre>\n<h3> <strong>Contoh 2: Terapkan fungsi ke setiap baris bingkai data<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Misalkan kita memiliki matriks berikut di R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<span style=\"color: #000000;\">df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (var1=1:3,\n                 var2=4:6,\n                 var3=7:9,\n                 var4=10:12,\n                 var5=13:15)<\/span><\/span>\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n  var1 var2 var3 var4 var5\n1 1 4 7 10 13\n2 2 5 8 11 14\n3 3 6 9 12 15\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kita bisa menggunakan fungsi <strong>apply()<\/strong> untuk menerapkan fungsi yang berbeda ke baris bingkai data:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find mean of each row\n<\/span><span style=\"color: #000000;\">apply(df, 1, mean)\n\n[1] 7 8 9\n<\/span>\n<span style=\"color: #008080;\">#find sum of each row\n<\/span>apply(df, 1, sum)\n\n[1] 35 40 45\n\n<span style=\"color: #008080;\">#find standard deviation of each row<\/span>\napply(df, 1, sd)\n\n[1] 4.743416 4.743416 4.743416\n\n<span style=\"color: #008080;\">#multiply the value in each row by 2 (using t() to transpose the results)<\/span>\nt(apply(df, 1, <span style=\"color: #008000;\">function<\/span> (x) x * 2))\n\n     var1 var2 var3 var4 var5\n[1,] 2 8 14 20 26\n[2,] 4 10 16 22 28\n[3,] 6 12 18 24 30\n\n<span style=\"color: #008080;\">#normalize every row to 1 (using t() to transpose the results)\n<\/span>t(apply(df, 1, <span style=\"color: #008000;\">function<\/span> (x) x \/ sum(x) ))\n\n           var1 var2 var3 var4 var5\n[1,] 0.02857143 0.1142857 0.2 0.2857143 0.3714286\n[2,] 0.05000000 0.1250000 0.2 0.2750000 0.3500000\n[3,] 0.06666667 0.1333333 0.2 0.2666667 0.3333333<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Mirip dengan matriks, jika Anda ingin mencari rata-rata atau jumlah setiap baris, akan lebih cepat jika menggunakan fungsi <strong>rowMeans()<\/strong> atau <strong>rowSums()<\/strong> bawaan:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find mean of each row\n<\/span><span style=\"color: #000000;\">rowMeans(df)\n\n[1] 7 8 9\n<\/span>\n<span style=\"color: #008080;\">#find sum of each row\n<\/span>rowSums(df)\n\n[1] 35 40 45<\/strong><\/pre>\n<h3> <strong>Sumber daya tambahan<\/strong><\/h3>\n<p> Cara mengambil nomor baris di R<br \/> <a href=\"https:\/\/statorials.org\/id\/hitung-jika-r\/\" target=\"_blank\" rel=\"noopener\">Cara menjalankan fungsi COUNTIF di R<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/jumlah-dalam-r\/\" target=\"_blank\" rel=\"noopener\">Cara menjalankan fungsi SUMIF di R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anda dapat menggunakan fungsi apply() untuk menerapkan fungsi ke setiap baris matriks atau bingkai data di R. Fungsi ini menggunakan sintaks dasar berikut: terapkan (X, MARGIN, MENYENANGKAN) Emas: X : Nama matriks atau blok data. MARGIN: Dimensi untuk melakukan operasi. Gunakan 1 untuk baris, 2 untuk kolom. FUN: Fungsi untuk diterapkan. Contoh berikut menunjukkan cara [&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 menerapkan fungsi ke setiap baris matriks atau bingkai data di R<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menerapkan fungsi ke setiap baris matriks atau bingkai data di R, beserta contohnya.\" \/>\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-menerapkan-fungsi-ke-setiap-baris\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menerapkan fungsi ke setiap baris matriks atau bingkai data di R\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menerapkan fungsi ke setiap baris matriks atau bingkai data di R, beserta contohnya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/r-menerapkan-fungsi-ke-setiap-baris\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T16:25:56+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-menerapkan-fungsi-ke-setiap-baris\/\",\"url\":\"https:\/\/statorials.org\/id\/r-menerapkan-fungsi-ke-setiap-baris\/\",\"name\":\"Cara menerapkan fungsi ke setiap baris matriks atau bingkai data di R\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-24T16:25:56+00:00\",\"dateModified\":\"2023-07-24T16:25:56+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menerapkan fungsi ke setiap baris matriks atau bingkai data di R, beserta contohnya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/r-menerapkan-fungsi-ke-setiap-baris\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/r-menerapkan-fungsi-ke-setiap-baris\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/r-menerapkan-fungsi-ke-setiap-baris\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menerapkan fungsi ke setiap baris matriks atau bingkai data di r\"}]},{\"@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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