{"id":1808,"date":"2023-07-24T22:03:16","date_gmt":"2023-07-24T22:03:16","guid":{"rendered":"https:\/\/statorials.org\/id\/tambahkan-variabel-plot-r\/"},"modified":"2023-07-24T22:03:16","modified_gmt":"2023-07-24T22:03:16","slug":"tambahkan-variabel-plot-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/tambahkan-variabel-plot-r\/","title":{"rendered":"Cara membuat plot variabel tambahan di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Dalam statistik, <strong>plot variabel tambahan<\/strong> adalah plot individual yang menampilkan hubungan antara <a href=\"https:\/\/statorials.org\/id\/variabel-tanggapan-penjelas\/\" target=\"_blank\" rel=\"noopener\">variabel respon<\/a> dan variabel prediktor dalam model regresi linier berganda, sekaligus mengontrol keberadaan variabel prediktor lain dalam model.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Catatan:<\/strong> Terkadang plot ini juga disebut &#8220;plot regresi parsial&#8221;.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Jenis plot ini memungkinkan kita untuk mengamati hubungan antara masing-masing variabel prediktor dan variabel respons dalam suatu model sambil menjaga variabel prediktor lainnya tetap konstan.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Untuk membuat plot variabel yang ditambahkan di R, kita dapat menggunakan fungsi <strong>avPlots()<\/strong> dari paket <strong>car<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load <em>car<\/em> package\n<\/span><span style=\"color: #993300;\">library<\/span> (car) \n\n<span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- lm(y ~ x1 + x2 + ..., data = df)\n\n<span style=\"color: #008080;\">#create added variable plots\n<\/span>avPlots(model)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh: Menambahkan Plot Variabel di R<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Misalkan kita memasang model regresi linier berganda berikut di R, menggunakan data dari kumpulan data <strong>mtcars<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- lm(mpg ~ disp + hp + drat, data = mtcars)\n\n<span style=\"color: #008080;\">#view summary of model\n<\/span>summary(model)\n\nCall:\nlm(formula = mpg ~ disp + hp + drat, data = mtcars)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-5.1225 -1.8454 -0.4456 1.1342 6.4958 \n\nCoefficients:\n             Estimate Std. Error t value Pr(&gt;|t|)   \n(Intercept) 19.344293 6.370882 3.036 0.00513 **\navailable -0.019232 0.009371 -2.052 0.04960 * \nhp -0.031229 0.013345 -2.340 0.02663 * \ndrat 2.714975 1.487366 1.825 0.07863 . \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 3.008 on 28 degrees of freedom\nMultiple R-squared: 0.775, Adjusted R-squared: 0.7509 \nF-statistic: 32.15 on 3 and 28 DF, p-value: 3.28e-09<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Untuk memvisualisasikan hubungan antara variabel respons &#8220;mpg&#8221; dan masing-masing variabel prediktor dalam model, kita dapat membuat plot variabel tambahan menggunakan fungsi <strong>avPlots()<\/strong> :<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load car package\n<span style=\"color: #000000;\"><span style=\"color: #993300;\">library<\/span> (car)\n<\/span>\n#produce added variable plots\n<span style=\"color: #000000;\">avPlots(model)<\/span>\n<\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12861\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ajoutevarplots1.png\" alt=\"Menambahkan plot variabel di R\" width=\"503\" height=\"507\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Berikut cara menafsirkan setiap plot:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Sumbu x menampilkan satu variabel prediktor dan sumbu y menampilkan variabel respon.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Garis biru menunjukkan hubungan antara variabel prediktor dan variabel respons, <em>sementara nilai semua variabel prediktor lainnya tetap konstan<\/em> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">Titik-titik berlabel di setiap grafik mewakili dua observasi dengan <a href=\"https:\/\/statorials.org\/id\/residu\/\" target=\"_blank\" rel=\"noopener\">residu<\/a> terbesar dan dua observasi dengan leverage parsial terbesar.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa sudut garis pada setiap plot sesuai dengan tanda koefisien persamaan regresi yang diestimasi.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Misalnya, berikut estimasi koefisien untuk setiap variabel prediktor dalam model:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>tampilan:<\/strong> -0,019232<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>bab:<\/strong> -0,031229<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>tanggal:<\/strong> 2.714975<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa sudut garis bernilai positif pada plot variabel yang ditambahkan untuk <em>drat<\/em> sedangkan sudut garis bernilai negatif untuk <em>disp<\/em> dan <em>hp<\/em> , yang sesuai dengan tanda estimasi koefisiennya:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12864\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ajoutevarplots2.png\" alt=\"Cara menafsirkan plot variabel tambahan\" width=\"473\" height=\"495\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Grafik ini memungkinkan kita dengan mudah memvisualisasikan hubungan antara masing-masing variabel prediktor dan variabel respons.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\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<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dalam statistik, plot variabel tambahan adalah plot individual yang menampilkan hubungan antara variabel respon dan variabel prediktor dalam model regresi linier berganda, sekaligus mengontrol keberadaan variabel prediktor lain dalam model. Catatan: Terkadang plot ini juga disebut &#8220;plot regresi parsial&#8221;. Jenis plot ini memungkinkan kita untuk mengamati hubungan antara masing-masing variabel prediktor dan variabel respons dalam [&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 membuat plot variabel tambahan di R - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara membuat dan menafsirkan plot variabel tambahan di R, termasuk contoh langkah demi langkah.\" \/>\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\/tambahkan-variabel-plot-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara membuat plot variabel tambahan di R - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara membuat dan menafsirkan plot variabel tambahan di R, termasuk contoh langkah demi langkah.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/tambahkan-variabel-plot-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T22:03:16+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ajoutevarplots1.png\" \/>\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\/tambahkan-variabel-plot-r\/\",\"url\":\"https:\/\/statorials.org\/id\/tambahkan-variabel-plot-r\/\",\"name\":\"Cara membuat plot variabel tambahan di R - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-24T22:03:16+00:00\",\"dateModified\":\"2023-07-24T22:03:16+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara membuat dan menafsirkan plot variabel tambahan di R, termasuk contoh langkah demi langkah.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/tambahkan-variabel-plot-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/tambahkan-variabel-plot-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/tambahkan-variabel-plot-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara membuat plot variabel tambahan 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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