{"id":469,"date":"2023-07-29T19:40:31","date_gmt":"2023-07-29T19:40:31","guid":{"rendered":"https:\/\/statorials.org\/id\/panduan-untuk-menerapkan-lapply-sapply-dan-tapply-di-r\/"},"modified":"2023-07-29T19:40:31","modified_gmt":"2023-07-29T19:40:31","slug":"panduan-untuk-menerapkan-lapply-sapply-dan-tapply-di-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/panduan-untuk-menerapkan-lapply-sapply-dan-tapply-di-r\/","title":{"rendered":"Panduan untuk apply(), lapply(), sapply() dan tapply() di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Tutorial ini menjelaskan perbedaan antara fungsi R bawaan <strong>apply()<\/strong> , <strong>sapply()<\/strong> , <strong>lapply(),<\/strong> dan <strong>tapply()<\/strong> beserta contoh waktu dan cara menggunakan masing-masing fungsi.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>menerapkan()<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Gunakan fungsi <strong>apply()<\/strong> ketika Anda ingin menerapkan fungsi ke baris atau kolom matriks atau bingkai data.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Sintaks dasar dari fungsi apply() adalah:<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>terapkan (X, MARGIN, MENYENANGKAN)<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">X adalah nama array atau blok data<\/span><\/li>\n<li> <span style=\"color: #000000;\">MARGIN menunjukkan dimensi mana yang akan melakukan operasi (1 = baris, 2 = kolom)<\/span><\/li>\n<li> <span style=\"color: #000000;\">FUN adalah operasi spesifik yang ingin Anda lakukan (misalnya min, maks, jumlah, rata-rata, dll.)<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan beberapa contoh penerapan <strong>apply()<\/strong> .<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create a data frame with three columns and five rows<\/span>\ndata &lt;- data.frame(a = c(1, 3, 7, 12, 9),\n                   b = c(4, 4, 6, 7, 8),\n                   c = c(14, 15, 11, 10, 6))\ndata\n\n#abc\n#1 1 4 14\n#2 3 4 15\n#3 7 6 11\n#4 12 7 10\n#5 9 8 6\n\n<span style=\"color: #008080;\">#find the sum of each row<\/span>\napply(data, 1, sum)\n\n#[1] 19 22 24 29 23\n\n<span style=\"color: #008080;\">#find the sum of each column<\/span>\napply(data, 2, sum)\n\n#abc\n#32 29 56 \n\n<span style=\"color: #008080;\">#find the mean of each row<\/span>\napply(data, 1, mean)\n\n#[1] 6.333333 7.333333 8.000000 9.666667 7.666667\n\n<span style=\"color: #008080;\">#find the mean of each column, rounded to one decimal place<\/span>\nround(apply(data, 2, mean), 1)\n\n#abc\n#6.4 5.8 11.2 \n\n<span style=\"color: #008080;\">#find the standard deviation of each row<\/span>\napply(data, 1, sd)\n\n#[1] 6.806859 6.658328 2.645751 2.516611 1.527525\n\n<span style=\"color: #008080;\">#find the standard deviation of each column<\/span>\napply(data, 2, sd)\n\n#abc\n#4.449719 1.788854 3.563706 \n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>menerapkan()<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Gunakan fungsi <strong>lapply()<\/strong> ketika Anda ingin menerapkan fungsi ke setiap elemen daftar, vektor, atau bingkai data dan dapatkan daftar sebagai hasilnya.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Sintaks dasar fungsi lapply() adalah:<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>lapply(X, MENYENANGKAN)<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">X adalah nama daftar, vektor atau bingkai data<\/span><\/li>\n<li> <span style=\"color: #000000;\">FUN adalah operasi spesifik yang ingin Anda lakukan<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan beberapa contoh penggunaan <strong>lapply()<\/strong> pada kolom dalam bingkai data.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create a data frame with three columns and five rows\n<\/span>data &lt;- data.frame(a = c(1, 3, 7, 12, 9),\n                   b = c(4, 4, 6, 7, 8),\n                   c = c(14, 15, 11, 10, 6))\ndata\n\n#abc\n#1 1 4 14\n#2 3 4 15\n#3 7 6 11\n#4 12 7 10\n#5 9 8 6\n\n<span style=\"color: #008080;\">#find mean of each column and return results as a list<\/span>\napply(data, mean)\n\n#$a\n# [1] 6.4\n#\n# $b\n# [1] 5.8\n#\n# $c\n# [1] 11.2\n\n<span style=\"color: #008080;\">#multiply values in each column by 2 and return results as a list<\/span>\nlapply(data, function(data) data*2)\n\n#$a\n# [1] 2 6 14 24 18\n#\n# $b\n# [1] 8 8 12 14 16\n#\n# $c\n# [1] 28 30 22 20 12\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kita juga bisa menggunakan <strong>lapply()<\/strong> untuk melakukan operasi pada daftar. Contoh berikut menunjukkan cara melakukan hal ini.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create a list\n<\/span>x &lt;- list(a=1, b=1:5, c=1:10) \nx\n\n#$a\n# [1] 1\n#\n# $b\n# [1] 1 2 3 4 5\n#\n# $c\n# [1] 1 2 3 4 5 6 7 8 9 10\n\n<span style=\"color: #008080;\">#find the sum of each element in the list<\/span>\nlapply(x, sum)\n\n#$a\n# [1] 1\n#\n# $b\n# [1] 15\n#\n# $c\n#[1]55\n\n<span style=\"color: #008080;\">#find the mean of each element in the list<\/span>\nlapply(x, mean)\n\n#$a\n# [1] 1\n#\n# $b\n# [1] 3\n#\n# $c\n# [1] 5.5\n\n<span style=\"color: #008080;\">#multiply values of each element by 5 and return results as a list<\/span>\nlapply(x, function(x) x*5)\n\n#$a\n# [1] 5\n#\n# $b\n# [1] 5 10 15 20 25\n#\n# $c\n# [1] 5 10 15 20 25 30 35 40 45 50\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>menerapkan()<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Gunakan fungsi <strong>sapply()<\/strong> ketika Anda ingin menerapkan fungsi ke setiap elemen daftar, vektor, atau bingkai data dan dengan demikian memperoleh <strong>vektor,<\/strong> bukan daftar.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Sintaks dasar fungsi sapply() adalah:<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>terapkan (X, MENYENANGKAN)<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">X adalah nama daftar, vektor atau bingkai data<\/span><\/li>\n<li> <span style=\"color: #000000;\">FUN adalah operasi spesifik yang ingin Anda lakukan<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan beberapa contoh penggunaan <strong>sapply()<\/strong> pada kolom dalam bingkai data.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create a data frame with three columns and five rows\n<\/span>data &lt;- data.frame(a = c(1, 3, 7, 12, 9),\n                   b = c(4, 4, 6, 7, 8),\n                   c = c(14, 15, 11, 10, 6))\ndata\n\n#abc\n#1 1 4 14\n#2 3 4 15\n#3 7 6 11\n#4 12 7 10\n#5 9 8 6\n\n<span style=\"color: #008080;\">#find mean of each column and return results as a vector\n<\/span>sapply(data, mean)\n\n#abc\n#6.4 5.8 11.2 \n\n<span style=\"color: #008080;\">#multiply values in each column by 2 and return results as a matrix\n<\/span>sapply(data, function(data) data*2)\n\n#abc\n#[1,] 2 8 28\n#[2,] 6 8 30\n#[3,] 14 12 22\n#[4,] 24 14 20\n#[5,] 18 16 12<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kita juga bisa menggunakan <strong>sapply()<\/strong> untuk melakukan operasi pada daftar. Contoh berikut menunjukkan cara melakukan hal ini.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create a list\n<\/span>x &lt;- list(a=1, b=1:5, c=1:10) \nx\n\n#$a\n# [1] 1\n#\n# $b\n# [1] 1 2 3 4 5\n#\n# $c\n# [1] 1 2 3 4 5 6 7 8 9 10\n\n<span style=\"color: #008080;\">#find the sum of each element in the list<\/span>\nsapply(x, sum)\n\n#abc\n#1 15 55 \n\n<span style=\"color: #008080;\">#find the mean of each element in the list<\/span>\nsapply(x, mean)\n\n#abc\n#1.0 3.0 5.5\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>mengetuk()<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Gunakan fungsi <strong>tapply()<\/strong> ketika Anda ingin menerapkan fungsi ke himpunan bagian dari suatu vektor dan himpunan bagian tersebut ditentukan oleh vektor lain, biasanya berupa faktor.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Sintaks dasar fungsi tapply() adalah:<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>ketuk (X, INDEKS, MENYENANGKAN)<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">X adalah nama objek, biasanya vektor<\/span><\/li>\n<li> <span style=\"color: #000000;\">INDEX adalah daftar satu atau lebih faktor<\/span><\/li>\n<li> <span style=\"color: #000000;\">FUN adalah operasi spesifik yang ingin Anda lakukan<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan contoh penggunaan <strong>tapply()<\/strong> pada <strong>dataset R yang tertanam pada iris <em>.<\/em><\/strong><\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view first six lines of <em>iris<\/em> dataset<\/span>\nhead(iris)\n\n# Sepal.Length Sepal.Width Petal.Length Petal.Width Species\n#1 5.1 3.5 1.4 0.2 setosa\n#2 4.9 3.0 1.4 0.2 setosa\n#3 4.7 3.2 1.3 0.2 setosa\n#4 4.6 3.1 1.5 0.2 setosa\n#5 5.0 3.6 1.4 0.2 setosa\n#6 5.4 3.9 1.7 0.4 setosa\n\n<span style=\"color: #008080;\">#find the max Sepal.Length of each of the three Species<\/span>\ntapply(iris$Sepal.Length, iris$Species, max)\n\n#setosa versicolor virginica \n#5.8 7.0 7.9 \n\n<span style=\"color: #008080;\">#find the mean Sepal.Width of each of the three Species\n<\/span>tapply(iris$Sepal.Width, iris$Species, mean)\n\n# setosa versicolor virginica \n# 3,428 2,770 2,974\n\n<span style=\"color: #008080;\">#find the minimum Petal.Width of each of the three Species\n<\/span>tapply(iris$Petal.Width, iris$Species, min)\n\n# setosa versicolor virginica \n#0.1 1.0 1.4 \n<\/strong><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Tutorial ini menjelaskan perbedaan antara fungsi R bawaan apply() , sapply() , lapply(), dan tapply() beserta contoh waktu dan cara menggunakan masing-masing fungsi. menerapkan() Gunakan fungsi apply() ketika Anda ingin menerapkan fungsi ke baris atau kolom matriks atau bingkai data. Sintaks dasar dari fungsi apply() adalah: terapkan (X, MARGIN, MENYENANGKAN) X adalah nama array atau [&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>Panduan untuk apply(), lapply(), sapply() dan tapply() di R - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan perbedaan antara fungsi R bawaan apply(), sapply(), lapply(), dan tapply() beserta contoh penggunaannya.\" \/>\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\/panduan-untuk-menerapkan-lapply-sapply-dan-tapply-di-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Panduan untuk apply(), lapply(), sapply() dan tapply() di R - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan perbedaan antara fungsi R bawaan apply(), sapply(), lapply(), dan tapply() beserta contoh penggunaannya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/panduan-untuk-menerapkan-lapply-sapply-dan-tapply-di-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-29T19:40:31+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=\"4 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/panduan-untuk-menerapkan-lapply-sapply-dan-tapply-di-r\/\",\"url\":\"https:\/\/statorials.org\/id\/panduan-untuk-menerapkan-lapply-sapply-dan-tapply-di-r\/\",\"name\":\"Panduan untuk apply(), lapply(), sapply() dan tapply() di R - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-29T19:40:31+00:00\",\"dateModified\":\"2023-07-29T19:40:31+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan perbedaan antara fungsi R bawaan apply(), sapply(), lapply(), dan tapply() beserta contoh penggunaannya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/panduan-untuk-menerapkan-lapply-sapply-dan-tapply-di-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/panduan-untuk-menerapkan-lapply-sapply-dan-tapply-di-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/panduan-untuk-menerapkan-lapply-sapply-dan-tapply-di-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Panduan untuk apply(), lapply(), sapply() dan tapply() 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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