{"id":2248,"date":"2023-07-23T02:23:10","date_gmt":"2023-07-23T02:23:10","guid":{"rendered":"https:\/\/statorials.org\/id\/uji-normalitas-di-r\/"},"modified":"2023-07-23T02:23:10","modified_gmt":"2023-07-23T02:23:10","slug":"uji-normalitas-di-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/uji-normalitas-di-r\/","title":{"rendered":"Cara menguji normalitas di r (4 metode)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Banyak uji statistik <a href=\"https:\/\/statorials.org\/id\/hipotesis-normalitas\/\" target=\"_blank\" rel=\"noopener\">mengasumsikan<\/a> bahwa kumpulan data terdistribusi normal.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Ada empat cara umum untuk memeriksa asumsi ini di R:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. (Metode visual) Membuat histogram.<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Jika histogram kira-kira berbentuk \u201clonceng\u201d, maka data diasumsikan terdistribusi normal.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>2. (Metode visual) Buat plot QQ.<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Jika titik-titik pada plot terletak kira-kira sepanjang garis lurus diagonal, maka data diasumsikan berdistribusi normal.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>3. (Uji statistik formal) Lakukan uji Shapiro-Wilk.<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Jika p-value uji lebih besar dari \u03b1 = 0,05 maka data diasumsikan berdistribusi normal.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>4. (Uji statistik formal) Lakukan uji Kolmogorov-Smirnov.<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Jika p-value uji lebih besar dari \u03b1 = 0,05 maka data diasumsikan berdistribusi normal.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan masing-masing metode ini dalam praktik.<\/span><\/p>\n<h3> <strong><span style=\"color: #000000;\">Metode 1: Buat Histogram<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara membuat histogram untuk dataset yang terdistribusi normal dan tidak terdistribusi normal di R:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#make this example reproducible\n<span style=\"color: #000000;\">set. <span style=\"color: #3366ff;\">seeds<\/span> (0)<\/span>\n\n#create data that follows a normal distribution\n<\/span>normal_data &lt;- rnorm(200)\n\n<span style=\"color: #008080;\">#create data that follows an exponential distribution\n<\/span>non_normal_data &lt;- rexp(200, rate=3)\n\n<span style=\"color: #008080;\">#define plotting region\n<\/span>by(mfrow=c(1,2)) \n\n<span style=\"color: #008080;\">#create histogram for both datasets\n<\/span>hist(normal_data, col=' <span style=\"color: #ff0000;\">steelblue<\/span> ', main=' <span style=\"color: #ff0000;\">Normal<\/span> ')\nhist(non_normal_data, col=' <span style=\"color: #ff0000;\">steelblue<\/span> ', main=' <span style=\"color: #ff0000;\">Non-normal<\/span> ')<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-20539 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/normer1.png\" alt=\"\" width=\"642\" height=\"359\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Histogram di sebelah kiri menunjukkan kumpulan data yang berdistribusi normal (kira-kira berbentuk &#8220;lonceng&#8221;) dan histogram di sebelah kanan menunjukkan kumpulan data yang tidak berdistribusi normal.<\/span><\/p>\n<h3> <strong><span style=\"color: #000000;\">Metode 2: Buat Plot QQ<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara membuat plot QQ untuk kumpulan data yang terdistribusi normal dan tidak terdistribusi normal di R:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#make this example reproducible\n<span style=\"color: #000000;\">set. <span style=\"color: #3366ff;\">seeds<\/span> (0)<\/span>\n\n#create data that follows a normal distribution\n<\/span>normal_data &lt;- rnorm(200)\n\n<span style=\"color: #008080;\">#create data that follows an exponential distribution\n<\/span>non_normal_data &lt;- rexp(200, rate=3)\n\n<span style=\"color: #008080;\">#define plotting region\n<\/span>by(mfrow=c(1,2)) \n\n<span style=\"color: #008080;\">#create QQ plot for both datasets\n<\/span>qqnorm(normal_data, main=' <span style=\"color: #ff0000;\">Normal<\/span> ')\nqqline(normal_data)\n\nqqnorm(non_normal_data, main=' <span style=\"color: #ff0000;\">Non-normal<\/span> ')\nqqline(non_normal_data)\n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-20540 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/normer2.png\" alt=\"\" width=\"649\" height=\"355\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Plot QQ di sebelah kiri menyajikan kumpulan data yang berdistribusi normal (titik-titiknya terletak pada garis diagonal lurus) dan plot QQ di sebelah kanan menyajikan kumpulan data yang tidak berdistribusi normal.<\/span><\/p>\n<h3> <strong><span style=\"color: #000000;\">Metode 3: Lakukan tes Shapiro-Wilk<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara melakukan pengujian Shapiro-Wilk pada kumpulan data yang terdistribusi normal dan tidak terdistribusi normal di R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (0)\n\n<span style=\"color: #008080;\">#create data that follows a normal distribution\n<\/span>normal_data &lt;- rnorm(200)\n\n<span style=\"color: #008080;\">#perform shapiro-wilk test<\/span>\nshapiro. <span style=\"color: #3366ff;\">test<\/span> (normal_data)\n\n\tShapiro-Wilk normality test\n\ndata: normal_data\nW = 0.99248, p-value = 0.3952\n\n<span style=\"color: #008080;\">#create data that follows an exponential distribution\n<\/span>non_normal_data &lt;- rexp(200, rate=3)\n\n<span style=\"color: #008080;\">#perform shapiro-wilk test<\/span>\nshapiro. <span style=\"color: #3366ff;\">test<\/span> (non_normal_data)\n\n\tShapiro-Wilk normality test\n\ndata: non_normal_data\nW = 0.84153, p-value = 1.698e-13<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Nilai p pada pengujian pertama tidak kurang dari 0,05 yang menunjukkan bahwa data berdistribusi normal.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Nilai p pada pengujian kedua <em>kurang<\/em> dari 0,05 yang menunjukkan bahwa data tidak berdistribusi normal.<\/span><\/p>\n<h3> <strong><span style=\"color: #000000;\">Metode 4: Lakukan tes Kolmogorov-Smirnov<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara melakukan pengujian Kolmogorov-Smirnov pada kumpulan data yang terdistribusi normal dan tidak terdistribusi normal di R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (0)\n\n<span style=\"color: #008080;\">#create data that follows a normal distribution\n<\/span>normal_data &lt;- rnorm(200)\n\n<span style=\"color: #008080;\">#perform kolmogorov-smirnov test\n<\/span>ks. <span style=\"color: #3366ff;\">test<\/span> (normal_data, ' <span style=\"color: #ff0000;\">pnorm<\/span> ')\n\n\tOne-sample Kolmogorov\u2013Smirnov test\n\ndata: normal_data\nD = 0.073535, p-value = 0.2296\nalternative hypothesis: two-sided\n\n<span style=\"color: #008080;\">#create data that follows an exponential distribution\n<\/span>non_normal_data &lt;- rexp(200, rate=3)\n\n<span style=\"color: #008080;\">#perform kolmogorov-smirnov test<\/span>\nks. <span style=\"color: #3366ff;\">test<\/span> (non_normal_data, ' <span style=\"color: #ff0000;\">pnorm<\/span> ') \n\tOne-sample Kolmogorov\u2013Smirnov test\n\ndata: non_normal_data\nD = 0.50115, p-value &lt; 2.2e-16\nalternative hypothesis: two-sided<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Nilai p pada pengujian pertama tidak kurang dari 0,05 yang menunjukkan bahwa data berdistribusi normal.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Nilai p pada pengujian kedua <em>kurang<\/em> dari 0,05 yang menunjukkan bahwa data tidak berdistribusi normal.<\/span><\/p>\n<h3> <strong>Cara menangani data yang tidak normal<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Jika kumpulan data tertentu <em>tidak<\/em> terdistribusi normal, kita sering kali dapat melakukan salah satu transformasi berikut untuk membuatnya lebih terdistribusi normal:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. Transformasi log:<\/strong> ubah nilai x menjadi <strong>log(x)<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2. Transformasi akar kuadrat:<\/strong> Ubah nilai x menjadi <strong><span style=\"border-top: 1px solid black;\">\u221ax<\/span><\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>3. Transformasi akar pangkat tiga:<\/strong> ubah nilai x menjadi <strong>x <sup>1\/3<\/sup><\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Dengan melakukan transformasi ini, kumpulan data secara umum menjadi lebih terdistribusi secara normal.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Baca <a href=\"https:\/\/statorials.org\/id\/mengubah-data-menjadi-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">tutorial ini<\/a> untuk melihat cara melakukan transformasi ini di R.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/id\/histogram-frekuensi-relatif-r\/\" target=\"_blank\" rel=\"noopener\">Cara membuat histogram di R<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/seseorang-membuat-penasaran-r\/\" target=\"_blank\" rel=\"noopener\">Cara membuat dan menafsirkan plot QQ di R<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/tes-shapiro-wilk-r\/\" target=\"_blank\" rel=\"noopener\">Cara melakukan tes Shapiro-Wilk di R<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/tes-kolmogorov-smirnov-sungai\/\" target=\"_blank\" rel=\"noopener\">Cara melakukan tes Kolmogorov-Smirnov di R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Banyak uji statistik mengasumsikan bahwa kumpulan data terdistribusi normal. Ada empat cara umum untuk memeriksa asumsi ini di R: 1. (Metode visual) Membuat histogram. Jika histogram kira-kira berbentuk \u201clonceng\u201d, maka data diasumsikan terdistribusi normal. 2. (Metode visual) Buat plot QQ. Jika titik-titik pada plot terletak kira-kira sepanjang garis lurus diagonal, maka data diasumsikan berdistribusi normal. [&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 menguji normalitas di R (4 metode) - Statorial<\/title>\n<meta name=\"description\" content=\"Tutorial ini memperkenalkan empat metode yang dapat Anda gunakan untuk menguji normalitas di R, termasuk contoh setiap metode.\" \/>\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\/uji-normalitas-di-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menguji normalitas di R (4 metode) - Statorial\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini memperkenalkan empat metode yang dapat Anda gunakan untuk menguji normalitas di R, termasuk contoh setiap metode.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/uji-normalitas-di-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-23T02:23:10+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/normer1.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=\"3 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/uji-normalitas-di-r\/\",\"url\":\"https:\/\/statorials.org\/id\/uji-normalitas-di-r\/\",\"name\":\"Cara menguji normalitas di R (4 metode) - Statorial\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-23T02:23:10+00:00\",\"dateModified\":\"2023-07-23T02:23:10+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini memperkenalkan empat metode yang dapat Anda gunakan untuk menguji normalitas di R, termasuk contoh setiap metode.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/uji-normalitas-di-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/uji-normalitas-di-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/uji-normalitas-di-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menguji normalitas di r (4 metode)\"}]},{\"@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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