{"id":4266,"date":"2023-07-12T10:12:56","date_gmt":"2023-07-12T10:12:56","guid":{"rendered":"https:\/\/statorials.org\/id\/ekstrak-sisa-lm-ke-r\/"},"modified":"2023-07-12T10:12:56","modified_gmt":"2023-07-12T10:12:56","slug":"ekstrak-sisa-lm-ke-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/ekstrak-sisa-lm-ke-r\/","title":{"rendered":"Cara mengekstrak sisa dari fungsi lm() di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Anda dapat menggunakan sintaks berikut untuk mengekstrak <a href=\"https:\/\/statorials.org\/id\/residu\/\" target=\"_blank\" rel=\"noopener\">sisa<\/a> dari fungsi <a href=\"https:\/\/statorials.org\/id\/fungsi-lm-di-r\/\" target=\"_blank\" rel=\"noopener\">lm()<\/a> di R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\">fit$residuals<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Contoh ini mengasumsikan bahwa kita menggunakan fungsi <strong>lm()<\/strong> agar sesuai dengan model regresi linier dan menamai hasilnya <strong>fit<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Terkait:<\/strong> <a href=\"https:\/\/statorials.org\/id\/ekstrak-r-persegi-dari-lm-ke-r\/\" target=\"_blank\" rel=\"noopener\">Cara mengekstrak R-Squared dari fungsi lm() di R<\/a><\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh: Cara mengekstrak residu dari lm() di R<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Misalkan kita mempunyai kerangka data berikut di R yang berisi informasi tentang menit bermain, total pelanggaran, dan total poin yang dicetak oleh 10 pemain bola basket:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (minutes=c(5, 10, 13, 14, 20, 22, 26, 34, 38, 40),\n                 fouls=c(5, 5, 3, 4, 2, 1, 3, 2, 1, 1),\n                 points=c(6, 8, 8, 7, 14, 10, 22, 24, 28, 30))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n   minutes fouls points\n1 5 5 6\n2 10 5 8\n3 13 3 8\n4 14 4 7\n5 20 2 14\n6 22 1 10\n7 26 3 22\n8 34 2 24\n9 38 1 28\n10 40 1 30<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Misalkan kita ingin menyesuaikan model regresi linier berganda berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>poin = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> (menit) + \u03b2 <sub>2<\/sub> (pelanggaran)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan fungsi <strong>lm()<\/strong> agar sesuai dengan model regresi ini:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>fit &lt;- lm(points ~ minutes + fouls, data=df)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kita kemudian dapat mengetikkan <strong>fit$residuals<\/strong> untuk mengekstrak residu dari model:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#extract residuals from model\n<\/span>fit$residuals\n\n         1 2 3 4 5 6 7 \n 2.0888729 -0.7982137 0.6371041 -3.5240982 1.9789676 -1.7920822 1.9306786 \n         8 9 10 \n-1.7048752 0.5692404 0.6144057<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Karena total ada 10 observasi di database kami, ada 10 residu \u2013 satu untuk setiap observasi.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Misalnya:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Pengamatan pertama mempunyai sisa sebesar <strong>2,089<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">Observasi kedua mempunyai sisa sebesar <strong>-0.798<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">Observasi ketiga mempunyai sisa sebesar <strong>0,637<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Dan seterusnya.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Kita kemudian dapat membuat plot residu terhadap nilai yang dipasang jika kita ingin:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#store residuals in variable\n<span style=\"color: #000000;\">res &lt;- fit$residuals<\/span>\n\n#produce residual vs. fitted plot\n<\/span>plot(fitted(fit), res)\n\n<span style=\"color: #008080;\">#add a horizontal line at 0 \n<\/span>abline(0,0)\n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33668 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/res1.jpg\" alt=\"\" width=\"462\" height=\"428\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Sumbu x menampilkan nilai yang dipasang dan sumbu y menampilkan residu.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Idealnya, residu tersebar secara acak di sekitar nol, tanpa pola yang jelas, untuk memastikan <a href=\"https:\/\/statorials.org\/id\/regresi-heteroskedastisitas\/\" target=\"_blank\" rel=\"noopener\">asumsi homoskedastisitas<\/a> terpenuhi.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Pada plot residu di atas terlihat bahwa residu tampak tersebar secara acak di sekitar nol tanpa pola yang jelas, artinya asumsi homoskedastisitas kemungkinan terpenuhi.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Tutorial berikut menjelaskan cara melakukan tugas umum lainnya di R:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/regresi-linier-sederhana-di-r\/\" target=\"_blank\" rel=\"noopener\">Cara melakukan regresi linier sederhana di R<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/regresi-linier-berganda-r\/\" target=\"_blank\" rel=\"noopener\">Cara melakukan regresi linier berganda di R<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/sisa-jejak-r\/\" target=\"_blank\" rel=\"noopener\">Cara membuat plot sisa di R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anda dapat menggunakan sintaks berikut untuk mengekstrak sisa dari fungsi lm() di R: fit$residuals Contoh ini mengasumsikan bahwa kita menggunakan fungsi lm() agar sesuai dengan model regresi linier dan menamai hasilnya fit . Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya. Terkait: Cara mengekstrak R-Squared dari fungsi lm() di R Contoh: Cara mengekstrak residu [&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 mengekstrak residu dari fungsi lm() di R - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara mengekstrak residu dari fungsi lm() di R, dengan sebuah 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\/ekstrak-sisa-lm-ke-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara mengekstrak residu dari fungsi lm() di R - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara mengekstrak residu dari fungsi lm() di R, dengan sebuah contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/ekstrak-sisa-lm-ke-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-12T10:12:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/res1.jpg\" \/>\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\/ekstrak-sisa-lm-ke-r\/\",\"url\":\"https:\/\/statorials.org\/id\/ekstrak-sisa-lm-ke-r\/\",\"name\":\"Cara mengekstrak residu dari fungsi lm() di R - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-12T10:12:56+00:00\",\"dateModified\":\"2023-07-12T10:12:56+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara mengekstrak residu dari fungsi lm() di R, dengan sebuah contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/ekstrak-sisa-lm-ke-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/ekstrak-sisa-lm-ke-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/ekstrak-sisa-lm-ke-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara mengekstrak sisa dari fungsi lm() 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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