{"id":936,"date":"2023-07-28T06:31:00","date_gmt":"2023-07-28T06:31:00","guid":{"rendered":"https:\/\/statorials.org\/id\/r-pasangan-plot\/"},"modified":"2023-07-28T06:31:00","modified_gmt":"2023-07-28T06:31:00","slug":"r-pasangan-plot","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/r-pasangan-plot\/","title":{"rendered":"Cara membuat dan menafsirkan plot berpasangan di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Plot berpasangan<\/strong> adalah matriks scatterplot yang memungkinkan Anda memahami hubungan berpasangan antara variabel berbeda dalam kumpulan data.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Untungnya, mudah untuk membuat plot berpasangan di R menggunakan fungsi <a href=\"https:\/\/www.rdocumentation.org\/packages\/graphics\/versions\/3.6.2\/topics\/pairs\" target=\"_blank\" rel=\"noopener noreferrer\">pair()<\/a> .<\/span> <span style=\"color: #000000;\">Tutorial ini memberikan beberapa contoh penggunaan praktis fungsi ini.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 1: Plot Pasangan Semua Variabel<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara membuat plot pasangan basa untuk semua variabel dalam bingkai data di R:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible<\/span> \nset.seed(0)\n\n<span style=\"color: #008080;\">#create data frame<\/span> \nvar1 &lt;- rnorm(1000)\nvar2 &lt;- var1 + rnorm(1000, 0, 2)\nvar3 &lt;- var2 - rnorm(1000, 0, 5)\n \ndf &lt;- data.frame(var1, var2, var3)\n\n<span style=\"color: #008080;\">#create pairs plot<\/span> \npeers(df)<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9914 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pairesr1-1.png\" alt=\"\" width=\"396\" height=\"400\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Cara menafsirkan matriks adalah sebagai berikut:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Nama variabel ditampilkan di sepanjang kotak diagonal.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Semua kotak lainnya menampilkan diagram sebar hubungan antara setiap kombinasi variabel berpasangan. Misalnya, area di sudut kanan atas matriks menampilkan sebar nilai untuk <strong>var1<\/strong> dan <strong>var3<\/strong> . Kotak kiri tengah menampilkan sebar nilai untuk <strong>var1<\/strong> dan <strong>var2<\/strong> , dan seterusnya.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Grafik tunggal ini memberi kita gambaran tentang hubungan antara setiap pasangan variabel dalam kumpulan data kita. Misalnya, <strong>var1<\/strong> dan <strong>var2<\/strong> tampaknya berkorelasi positif, sedangkan <strong>var1<\/strong> dan <strong>var3<\/strong> tampaknya memiliki sedikit atau tidak ada korelasi.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 2: Merencanakan Pasangan Variabel Tertentu<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara membuat plot pasangan basa hanya untuk dua variabel pertama dalam kumpulan data:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create pairs plot for var1 and var2 only<\/span>\neven(df[, 1:2])<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9915 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pairesr.png\" alt=\"Merencanakan pasangan variabel tertentu di R\" width=\"324\" height=\"337\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <strong><span style=\"color: #000000;\"><span style=\"color: #000000;\">Contoh 3: Mengubah estetika plot berpasangan<\/span><\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara mengubah estetika plot berpasangan, termasuk judul, warna, dan label:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>peers(df,\n      col = ' <span style=\"color: #008000;\">blue<\/span> ', <span style=\"color: #008080;\">#modify color<\/span>\n      labels = c(' <span style=\"color: #008000;\">First<\/span> ', ' <span style=\"color: #008000;\">Second<\/span> ', ' <span style=\"color: #008000;\">Third<\/span> '), <span style=\"color: #008080;\">#modify labels<\/span>\n      main = ' <span style=\"color: #008000;\">Custom Title<\/span> ') <span style=\"color: #008080;\">#modify title<\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9916 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pairesr2.png\" alt=\"Merencanakan pasangan khusus di R\" width=\"398\" height=\"412\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <strong><span style=\"color: #000000;\">Contoh 4: Mendapatkan korelasi dengan ggpairs<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Anda juga bisa mendapatkan <a href=\"https:\/\/statorials.org\/id\/koefisien-korelasi-pearson-1\/\" target=\"_blank\" rel=\"noopener noreferrer\">koefisien korelasi Pearson<\/a> antar variabel menggunakan fungsi <strong>ggpairs()<\/strong> dari perpustakaan GGally. Kode berikut menunjukkan cara menggunakan fungsi ini:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#install necessary libraries<\/span>\ninstall.packages('ggplot2')\ninstall.packages('GGally')\n\n<span style=\"color: #008080;\">#load libraries\n<\/span>library(ggplot2)\nlibrary(GGally)\n\n<span style=\"color: #008080;\">#create pairs plot\n<\/span>ggpairs(df)<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9917 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pairesr3.png\" alt=\"fungsi ggpairs dalam contoh R\" width=\"428\" height=\"418\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Cara menafsirkan matriks ini adalah sebagai berikut:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Nama variabel ditampilkan di tepi luar matriks.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Kotak di sepanjang diagonal menampilkan plot kepadatan untuk setiap variabel.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Kotak di pojok kiri bawah menampilkan diagram sebar antar masing-masing variabel.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Kotak di pojok kanan atas menampilkan koefisien korelasi Pearson antar masing-masing variabel. Misalnya, korelasi antara var1 dan var2 adalah <strong>0.425<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Keuntungan menggunakan <strong>ggpairs()<\/strong> dibandingkan fungsi dasar R <strong>pair()<\/strong> adalah Anda bisa mendapatkan lebih banyak informasi tentang variabel. Secara khusus, Anda dapat melihat koefisien korelasi antara setiap kombinasi variabel berpasangan serta plot kepadatan untuk setiap variabel individual.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><em>Anda dapat menemukan dokumentasi lengkap untuk fungsi ggpairs() <a href=\"https:\/\/www.rdocumentation.org\/packages\/GGally\/versions\/1.5.0\/topics\/ggpairs\" target=\"_blank\" rel=\"noopener noreferrer\">di sini<\/a> .<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Plot berpasangan adalah matriks scatterplot yang memungkinkan Anda memahami hubungan berpasangan antara variabel berbeda dalam kumpulan data. Untungnya, mudah untuk membuat plot berpasangan di R menggunakan fungsi pair() . Tutorial ini memberikan beberapa contoh penggunaan praktis fungsi ini. Contoh 1: Plot Pasangan Semua Variabel Kode berikut menunjukkan cara membuat plot pasangan basa untuk semua variabel [&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 dan menginterpretasikan plot berpasangan di R - Statorials<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang cara membuat dan menginterpretasikan plot berpasangan di R.\" \/>\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-pasangan-plot\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara membuat dan menginterpretasikan plot berpasangan di R - Statorials\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang cara membuat dan menginterpretasikan plot berpasangan di R.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/r-pasangan-plot\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T06:31:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pairesr1-1.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\/r-pasangan-plot\/\",\"url\":\"https:\/\/statorials.org\/id\/r-pasangan-plot\/\",\"name\":\"Cara membuat dan menginterpretasikan plot berpasangan di R - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-28T06:31:00+00:00\",\"dateModified\":\"2023-07-28T06:31:00+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang cara membuat dan menginterpretasikan plot berpasangan di R.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/r-pasangan-plot\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/r-pasangan-plot\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/r-pasangan-plot\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara membuat dan menafsirkan plot berpasangan 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. 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 membuat dan menginterpretasikan plot berpasangan di R - Statorials","description":"Penjelasan sederhana tentang cara membuat dan menginterpretasikan plot berpasangan di R.","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-pasangan-plot\/","og_locale":"id_ID","og_type":"article","og_title":"Cara membuat dan menginterpretasikan plot berpasangan di R - Statorials","og_description":"Penjelasan sederhana tentang cara membuat dan menginterpretasikan plot berpasangan di R.","og_url":"https:\/\/statorials.org\/id\/r-pasangan-plot\/","og_site_name":"Statorials","article_published_time":"2023-07-28T06:31:00+00:00","og_image":[{"url":"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pairesr1-1.png"}],"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-pasangan-plot\/","url":"https:\/\/statorials.org\/id\/r-pasangan-plot\/","name":"Cara membuat dan menginterpretasikan plot berpasangan di R - Statorials","isPartOf":{"@id":"https:\/\/statorials.org\/id\/#website"},"datePublished":"2023-07-28T06:31:00+00:00","dateModified":"2023-07-28T06:31:00+00:00","author":{"@id":"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81"},"description":"Penjelasan sederhana tentang cara membuat dan menginterpretasikan plot berpasangan di R.","breadcrumb":{"@id":"https:\/\/statorials.org\/id\/r-pasangan-plot\/#breadcrumb"},"inLanguage":"id","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/id\/r-pasangan-plot\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/id\/r-pasangan-plot\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/statorials.org\/id\/"},{"@type":"ListItem","position":2,"name":"Cara membuat dan menafsirkan plot berpasangan 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. 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\/936"}],"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=936"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/936\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/media?parent=936"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/categories?post=936"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/tags?post=936"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}