{"id":2138,"date":"2023-07-23T13:06:58","date_gmt":"2023-07-23T13:06:58","guid":{"rendered":"https:\/\/statorials.org\/id\/bic-ke-r\/"},"modified":"2023-07-23T13:06:58","modified_gmt":"2023-07-23T13:06:58","slug":"bic-ke-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/bic-ke-r\/","title":{"rendered":"Cara menghitung bic di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Kriteria Informasi Bayesian<\/strong> , sering disingkat <strong>BIC<\/strong> , adalah ukuran yang digunakan untuk membandingkan kesesuaian model regresi yang berbeda.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Dalam praktiknya, kami menyesuaikan beberapa model regresi ke kumpulan data yang sama dan memilih model dengan nilai BIC terendah sebagai model yang paling sesuai dengan data.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Kami menggunakan rumus berikut untuk menghitung BIC:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>BIC:<\/strong> (RSS+log(n)d\u03c3\u0302 <sup>2<\/sup> ) \/ n<\/span><\/p>\n<p> <span style=\"color: #000000;\">Emas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>d:<\/strong> Jumlah prediktor<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>n:<\/strong> Jumlah pengamatan<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u03c3\u0302:<\/strong> Estimasi varians kesalahan yang terkait dengan setiap ukuran respons dalam model regresi<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>RSS:<\/strong> Jumlah sisa kuadrat dari model regresi<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>TSS:<\/strong> Jumlah total kuadrat model regresi<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Contoh langkah demi langkah berikut menunjukkan cara menghitung nilai BIC untuk model regresi di R.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Langkah 1: Lihat data<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Untuk contoh ini, kita akan menggunakan dataset <strong>mtcars<\/strong> bawaan:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view first six rows of mtcars dataset\n<span style=\"color: #000000;\">head(mtcars)<\/span>\n<\/span>mpg cyl disp hp drat wt qsec vs am gear carb\nMazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4\nMazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4\nDatsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1\nHornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1\nHornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2\nValiant 18.1 6 225 105 2.76 3,460 20.22 1 0 3 1\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Langkah 2: Instal Beberapa Template<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Selanjutnya, kami akan menyesuaikan beberapa model regresi berbeda menggunakan kumpulan data ini:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit three different regression models\n<span style=\"color: #000000;\">model1 &lt;- lm(mpg ~ disp + hp, data = mtcars)<\/span>\n<span style=\"color: #000000;\">model2 &lt;- lm(mpg ~ disp + qsec, data = mtcars)<\/span>\n<span style=\"color: #000000;\">model3 &lt;- lm(mpg ~ disp + wt, data = mtcars)<\/span>\n<\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Langkah 3: Pilih model dengan BIC terendah<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Untuk menghitung nilai BIC setiap model, kita dapat menggunakan fungsi <strong>BIC()<\/strong> dari paket <strong>flexmix<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #ff0000;\">library<\/span> (flexmix)\n\n<span style=\"color: #008080;\">#calculate BIC of model1\n<\/span>BIC(model1)\n\n[1] 174.4815\n\n<span style=\"color: #008080;\">#calculate BIC of model2\n<\/span>BIC(model2)\n\n[1] 177.7048\n\n<span style=\"color: #008080;\">#calculate BIC of model3\n<\/span>BIC(model3)\n\n[1] 170.0307\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kita dapat melihat nilai BIC untuk setiap model:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">BIC <strong>model 1<\/strong> : 174.4815<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Model 2<\/strong> BIC: 177.7048<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Model 3<\/strong> BIC: 170.0307<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Karena model 3 memiliki nilai BIC terendah, maka kita akan memilihnya sebagai model yang paling sesuai dengan dataset.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Tutorial berikut menjelaskan cara menyesuaikan model regresi umum 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 \/> Bagaimana melakukan regresi logistik di R<br \/> <a href=\"https:\/\/statorials.org\/id\/kuadrat-terkecil-tertimbang-di-r\/\" target=\"_blank\" rel=\"noopener\">Bagaimana melakukan regresi kuadrat terkecil tertimbang di R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Kriteria Informasi Bayesian , sering disingkat BIC , adalah ukuran yang digunakan untuk membandingkan kesesuaian model regresi yang berbeda. Dalam praktiknya, kami menyesuaikan beberapa model regresi ke kumpulan data yang sama dan memilih model dengan nilai BIC terendah sebagai model yang paling sesuai dengan data. Kami menggunakan rumus berikut untuk menghitung BIC: BIC: (RSS+log(n)d\u03c3\u0302 2 [&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 BIC di R - Statologi<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menghitung nilai BIC untuk model regresi 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\/bic-ke-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghitung BIC di R - Statologi\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menghitung nilai BIC untuk model regresi di R, beserta contohnya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/bic-ke-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-23T13:06:58+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\/bic-ke-r\/\",\"url\":\"https:\/\/statorials.org\/id\/bic-ke-r\/\",\"name\":\"Cara menghitung BIC di R - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-23T13:06:58+00:00\",\"dateModified\":\"2023-07-23T13:06:58+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menghitung nilai BIC untuk model regresi di R, beserta contohnya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/bic-ke-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/bic-ke-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/bic-ke-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung bic 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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