{"id":670,"date":"2023-07-29T03:49:30","date_gmt":"2023-07-29T03:49:30","guid":{"rendered":"https:\/\/statorials.org\/id\/plot-log-distribusi-normal-r\/"},"modified":"2023-07-29T03:49:30","modified_gmt":"2023-07-29T03:49:30","slug":"plot-log-distribusi-normal-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/plot-log-distribusi-normal-r\/","title":{"rendered":"Cara memplot distribusi normal log di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Untuk memplot fungsi kepadatan probabilitas untuk distribusi log-normal di R, kita dapat menggunakan fungsi berikut:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>dlnorm(x, meanlog = 0, sdlog = 1)<\/strong> untuk membuat fungsi kepadatan probabilitas.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>curve(function, from = NULL, to = NULL)<\/strong> untuk memplot fungsi kepadatan probabilitas.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Misalnya, kode berikut mengilustrasikan cara memplot fungsi kepadatan probabilitas untuk distribusi lognormal dengan mean = 0 dan deviasi standar = 1 (pada skala logaritmik) dengan sumbu x plot berubah dari 0 hingga 10:<\/span> <\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>curve(dlnorm(x, meanlog=0, sdlog=1), from=0, to=10)\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-6438 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lognormr1.png\" alt=\"Plot plot distribusi normal di R\" width=\"424\" height=\"391\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Secara default, meanlog = 0 dan sdlog =1, yang berarti kita dapat menghasilkan plot yang sama persis tanpa menentukan parameter berikut dalam fungsi <strong>dlnorm()<\/strong> :<\/span> <\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>curve(dlnorm(x), from=0, to=10)\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-6438 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lognormr1.png\" alt=\"\" width=\"423\" height=\"390\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Kita dapat menambahkan judul, mengubah label sumbu Y, menambah lebar baris, dan bahkan mengubah warna baris untuk membuat plot lebih estetis:<\/span> <\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>curve(dlnorm(x), from=0, to=10, \n    main = 'Log Normal Distribution', <span style=\"color: #008080;\">#add title<\/span>\n    ylab = 'Density', <span style=\"color: #008080;\">#change y-axis label<\/span>\n    lwd = 2, <span style=\"color: #008080;\">#increase line width to 2<\/span>\n    col = 'steelblue') <span style=\"color: #008080;\">#change line color to steelblue<\/span> \n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-6439 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lognormr2.png\" alt=\"Catat plot distribusi normal dengan judul di R\" width=\"423\" height=\"414\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Kita juga dapat menambahkan beberapa kurva pada grafik untuk membandingkan distribusi lognormal dengan standar deviasi yang berbeda. Misalnya, kode berikut membuat plot distribusi normal dengan sdlog = 0.3, sdlog = 0.5, dan sdlog = 1:<\/span> <\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>curve(dlnorm(x, meanlog=0, sdlog=.3), from=0, to=10, col='blue')\ncurve(dlnorm(x, meanlog=0, sdlog=.5), from=0, to=10, col='red', add=TRUE)\ncurve(dlnorm(x, meanlog=0, sdlog=1), from=0, to=10, col='purple', add=TRUE)\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-6440 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lognormr3.png\" alt=\"\" width=\"421\" height=\"387\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Kita dapat menambahkan legenda ke plot menggunakan fungsi <strong>legenda()<\/strong> , yang menggunakan sintaks berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>legenda(x, y=NULL, legenda, isi, kolom, bg, lty, cex)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Emas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x, y:<\/strong> koordinat x dan y yang digunakan untuk memposisikan legenda<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>legenda:<\/strong> teks yang akan dimasukkan ke dalam legenda<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>fill:<\/strong> mengisi warna di dalam legenda<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>col:<\/strong> daftar warna yang digunakan untuk garis di dalam legenda<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>bg :<\/strong> warna latar legenda<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>lty:<\/strong> gaya garis<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>cex:<\/strong> ukuran teks dalam legenda<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Dalam contoh kita, kita akan menggunakan sintaks berikut untuk membuat legenda:<\/span> <\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create density plots<\/span>\ncurve(dlnorm(x, meanlog=0, sdlog=.3), from=0, to=10, col='blue')\ncurve(dlnorm(x, meanlog=0, sdlog=.5), from=0, to=10, col='red', add=TRUE)\ncurve(dlnorm(x, meanlog=0, sdlog=1), from=0, to=10, col='purple', add=TRUE)\n\n<span style=\"color: #008080;\">#add legend<\/span>\nlegend(6, 1.2, legend=c(\"sdlog=.3\", \"sdlog=.5\", \"sdlog=1\"),\n       col=c(\"blue\", \"red\", \"purple\"), lty=1, cex=1.2)<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-6441 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lognormr4.png\" alt=\"Beberapa log fungsi kepadatan normal dalam plot di R\" width=\"420\" height=\"381\" srcset=\"\" sizes=\"\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Untuk memplot fungsi kepadatan probabilitas untuk distribusi log-normal di R, kita dapat menggunakan fungsi berikut: dlnorm(x, meanlog = 0, sdlog = 1) untuk membuat fungsi kepadatan probabilitas. curve(function, from = NULL, to = NULL) untuk memplot fungsi kepadatan probabilitas. Misalnya, kode berikut mengilustrasikan cara memplot fungsi kepadatan probabilitas untuk distribusi lognormal dengan mean = 0 [&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 memplot distribusi normal log di R - Statorials<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang cara memplot distribusi log-normal 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\/plot-log-distribusi-normal-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara memplot distribusi normal log di R - Statorials\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang cara memplot distribusi log-normal di R.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/plot-log-distribusi-normal-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-29T03:49:30+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lognormr1.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\/plot-log-distribusi-normal-r\/\",\"url\":\"https:\/\/statorials.org\/id\/plot-log-distribusi-normal-r\/\",\"name\":\"Cara memplot distribusi normal log di R - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-29T03:49:30+00:00\",\"dateModified\":\"2023-07-29T03:49:30+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang cara memplot distribusi log-normal di R.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/plot-log-distribusi-normal-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/plot-log-distribusi-normal-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/plot-log-distribusi-normal-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara memplot distribusi normal log 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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