{"id":2330,"date":"2023-07-22T18:09:17","date_gmt":"2023-07-22T18:09:17","guid":{"rendered":"https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/"},"modified":"2023-07-22T18:09:17","modified_gmt":"2023-07-22T18:09:17","slug":"r-koefisien-alias-dalam-model","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/","title":{"rendered":"Cara memperbaikinya di r: ada koefisien alias di model"},"content":{"rendered":"

<\/p>\n

\n

Kesalahan yang mungkin Anda temui di R adalah:<\/span><\/p>\n

 Error in vive.default(model): there are aliased coefficients in the model\n<\/strong><\/pre>\n
 Kesalahan ini biasanya terjadi ketika terdapat multikolinearitas<\/a> dalam model regresi. Artinya, dua atau lebih variabel prediktor dalam model berkorelasi tinggi (atau sempurna).<\/span><\/p>\n
 Jika hal ini terjadi, kita dapat mengatakan bahwa suatu variabel merupakan “alias” dari variabel lain, yang menyebabkan masalah saat menyesuaikan model regresi.<\/span><\/p>\n
 Contoh berikut menunjukkan cara memperbaiki kesalahan ini dalam praktiknya.<\/span><\/p>\n
 Bagaimana cara mereproduksi kesalahan tersebut<\/strong><\/span><\/h3>\n
 Misalkan kita menerapkan model regresi<\/a> berikut di R:<\/span><\/p>\n
 #make this example reproducible\n<\/span>set. seeds<\/span> (0)\n\n#define data\n<\/span>x1 <- rnorm(100)\nx2 <- rnorm(100)\nx3 <- x2*3\ny <- rnorm(100)\n\n#fit regression model\n<\/span>model <- lm(y~x1+x2+x3)\n<\/strong><\/span><\/pre>\n
 Kita dapat menggunakan fungsi vive()<\/strong> pada paket mobil<\/strong> untuk menghitung nilai VIF untuk setiap variabel prediktor dalam model guna menentukan apakah multikolinearitas merupakan masalah:<\/span><\/p>\n
 library<\/span> (car)\n<\/span><\/span>\n#calculate VIF values for predictor variables<\/span>\nlively(model)\n\n<\/span>Error in vive.default(model): there are aliased coefficients in the model\n<\/strong><\/span><\/pre>\n
 Kami menerima kesalahan yang menyatakan ” ada koefisien alias dalam model”.<\/strong> \u201c<\/span><\/p>\n
 Hal ini menunjukkan bahwa dua atau lebih variabel prediktor dalam model berkorelasi sempurna.<\/span><\/p>\n
 Bagaimana cara memperbaiki kesalahan tersebut<\/strong><\/span><\/h3>\n
 Untuk menentukan variabel prediktor mana yang berkorelasi sempurna, kita dapat menggunakan fungsi cor()<\/strong> untuk membuat matriks korelasi<\/a> untuk variabel tersebut:<\/span><\/p>\n
 #place variables in data frame\n<\/span>df <- data. frame<\/span> (x1, x2, x3, y)\n\n#create correlation matrix for data frame\n<\/span>cor(df)\n\n           x1 x2 x3 y\nx1 1.00000000 0.126886263 0.126886263 0.065047543\nx2 0.12688626 1.000000000 1.000000000 -0.009107573\nx3 0.12688626 1.000000000 1.000000000 -0.009107573\ny 0.06504754 -0.009107573 -0.009107573 1.000000000\n<\/span><\/span><\/strong><\/pre>\n
 Untuk memperbaiki kesalahan ini, cukup sesuaikan kembali model regresi dan hilangkan salah satu dari dua variabel ini.<\/span><\/p>\n
 Tidak masalah variabel mana yang kita hilangkan karena keduanya memberikan informasi yang persis sama dalam model regresi.<\/span><\/p>\n
 Untuk mempermudah, mari kita hapus x3<\/strong> dan sesuaikan model regresi lagi:<\/span><\/p>\n
 library<\/span> (car)\n<\/span>\n#make this example reproducible\nset. seeds<\/span> (0)\n\n#define data\n<\/span>x1 <- rnorm(100)\nx2 <- rnorm(100)\nx3 <- x2*3\ny <- rnorm(100)\n\n#fit regression model\n<\/span>model <- lm(y~x1+x2)\n\n#calculate VIF values for predictor variables in model<\/span>\nlively(model)\n\n      x1 x2 \n1.016364 1.016364 \n<\/span><\/span><\/strong><\/pre>\n
 Perhatikan bahwa kali ini kami tidak menerima kesalahan apa pun saat menghitung nilai VIF untuk model karena multikolinearitas tidak lagi menjadi masalah.<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Tutorial berikut menjelaskan cara memperbaiki kesalahan umum lainnya di R:<\/span><\/p>\n
 Cara memperbaiki di R: penggantian memiliki panjang nol<\/a>
 Cara memperbaikinya di R: argumen melibatkan jumlah baris yang berbeda<\/a>
 Cara memperbaikinya di R: argumen bukan numerik atau logis: return na<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Kesalahan yang mungkin Anda temui di R adalah: Error in vive.default(model): there are aliased coefficients in the model Kesalahan ini biasanya terjadi ketika terdapat multikolinearitas dalam model regresi. Artinya, dua atau lebih variabel prediktor dalam model berkorelasi tinggi (atau sempurna). Jika hal ini terjadi, kita dapat mengatakan bahwa suatu variabel merupakan “alias” dari variabel lain, […]<\/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":"\nCara memperbaikinya di R: ada koefisien alias di model - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara memperbaiki kesalahan berikut di R: Kesalahan di vive.default(model): Ada koefisien alias dalam model.\" \/>\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-koefisien-alias-dalam-model\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara memperbaikinya di R: ada koefisien alias di model - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara memperbaiki kesalahan berikut di R: Kesalahan di vive.default(model): Ada koefisien alias dalam model.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T18:09:17+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-koefisien-alias-dalam-model\/\",\"url\":\"https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/\",\"name\":\"Cara memperbaikinya di R: ada koefisien alias di model - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-22T18:09:17+00:00\",\"dateModified\":\"2023-07-22T18:09:17+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara memperbaiki kesalahan berikut di R: Kesalahan di vive.default(model): Ada koefisien alias dalam model.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara memperbaikinya di r: ada koefisien alias di model\"}]},{\"@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. Dengan pengalaman dan keahlian yang luas di bidang statistika, saya ingin berbagi ilmu untuk memberdayakan mahasiswa melalui Statorials. Baca selengkapnya\",\"sameAs\":[\"http:\/\/statorials.org\/id\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Cara memperbaikinya di R: ada koefisien alias di model - Statorials","description":"Tutorial ini menjelaskan cara memperbaiki kesalahan berikut di R: Kesalahan di vive.default(model): Ada koefisien alias dalam model.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/","og_locale":"id_ID","og_type":"article","og_title":"Cara memperbaikinya di R: ada koefisien alias di model - Statorials","og_description":"Tutorial ini menjelaskan cara memperbaiki kesalahan berikut di R: Kesalahan di vive.default(model): Ada koefisien alias dalam model.","og_url":"https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/","og_site_name":"Statorials","article_published_time":"2023-07-22T18:09:17+00:00","author":"Benjamin anderson","twitter_card":"summary_large_image","twitter_misc":{"Ditulis oleh":"Benjamin anderson","Estimasi waktu membaca":"2 menit"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/","url":"https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/","name":"Cara memperbaikinya di R: ada koefisien alias di model - Statorials","isPartOf":{"@id":"https:\/\/statorials.org\/id\/#website"},"datePublished":"2023-07-22T18:09:17+00:00","dateModified":"2023-07-22T18:09:17+00:00","author":{"@id":"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81"},"description":"Tutorial ini menjelaskan cara memperbaiki kesalahan berikut di R: Kesalahan di vive.default(model): Ada koefisien alias dalam model.","breadcrumb":{"@id":"https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/#breadcrumb"},"inLanguage":"id","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/id\/r-koefisien-alias-dalam-model\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/statorials.org\/id\/"},{"@type":"ListItem","position":2,"name":"Cara memperbaikinya di r: ada koefisien alias di model"}]},{"@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. Dengan pengalaman dan keahlian yang luas di bidang statistika, saya ingin berbagi ilmu untuk memberdayakan mahasiswa melalui Statorials. Baca selengkapnya","sameAs":["http:\/\/statorials.org\/id"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/2330"}],"collection":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/comments?post=2330"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/2330\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/media?parent=2330"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/categories?post=2330"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/tags?post=2330"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
 Terkait:<\/strong> Cara Menghitung dan Menafsirkan Nilai VIF di R<\/a><\/span><\/p>\n
 Kita dapat melihat bahwa variabel x2<\/strong> dan x3<\/strong> memiliki koefisien korelasi<\/a> sebesar 1. Hal ini menunjukkan bahwa kedua variabel tersebut menyebabkan kesalahan karena keduanya berkorelasi sempurna.<\/span><\/p>\n