{"id":1636,"date":"2023-07-25T13:57:43","date_gmt":"2023-07-25T13:57:43","guid":{"rendered":"https:\/\/statorials.org\/id\/kesalahan-standar-bootstrap-di-r\/"},"modified":"2023-07-25T13:57:43","modified_gmt":"2023-07-25T13:57:43","slug":"kesalahan-standar-bootstrap-di-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/kesalahan-standar-bootstrap-di-r\/","title":{"rendered":"Cara menghitung kesalahan standar bootstrap di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Bootstrapping<\/strong> adalah metode yang dapat digunakan untuk memperkirakan kesalahan standar suatu mean.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Proses dasar untuk menghitung kesalahan standar bootstrap adalah sebagai berikut:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Ambil <em>k<\/em> sampel replikasi <a href=\"https:\/\/statorials.org\/id\/pengambilan-sampel-dengan-vs.-tanpa-penggantian\/\" target=\"_blank\" rel=\"noopener\">dengan penggantian<\/a> dari kumpulan data tertentu.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Untuk setiap sampel, hitung kesalahan standarnya: s\/\u221a <span style=\"border-top: 1px solid black;\">n<\/span><\/span><\/li>\n<li> <span style=\"color: #000000;\">Hal ini menghasilkan <em>k<\/em> estimasi kesalahan standar yang berbeda. Untuk menemukan kesalahan standar bootstrap, ambil rata-rata dari <em>k<\/em> kesalahan standar.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Contoh berikut menjelaskan dua metode berbeda yang dapat digunakan untuk menghitung kesalahan standar bootstrap di R.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Metode 1: Gunakan Paket Pemula<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Salah satu cara untuk menghitung kesalahan standar boot di R adalah dengan menggunakan fungsi <strong>boot()<\/strong> dari perpustakaan <strong>boot<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghitung kesalahan standar bootstrap untuk kumpulan data tertentu di R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible<\/span>\nset. <span style=\"color: #3366ff;\">seeds<\/span> (10)\n\n<span style=\"color: #008080;\">#load boot library\n<\/span><span style=\"color: #993300;\">library<\/span> (boot)\n\n<span style=\"color: #008080;\">#define dataset\n<\/span>x &lt;- c(12, 14, 14, 15, 18, 21, 25, 29, 32, 35)\n\n<span style=\"color: #008080;\">#define function to calculate mean\n<\/span>meanFunc &lt;- <span style=\"color: #008000;\">function<\/span> (x,i){mean(x[i])}\n\n<span style=\"color: #008080;\">#calculate standard error using 100 bootstrapped samples\n<\/span>boot(x, meanFunc, 100)\n\nBootstrap Statistics:\n    original bias std. error\nt1* 21.5 0.254 2.379263<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Nilai \u201casli\u201d sebesar <strong>21,5<\/strong> menunjukkan rata-rata dari dataset asli. \u201cstd. Nilai <strong>2.379263<\/strong> menunjukkan kesalahan standar bootstrap dari mean.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa kami menggunakan 100 sampel bootstrap untuk memperkirakan kesalahan standar rata-rata dalam contoh ini, tetapi kami dapat menggunakan 1.000 atau 10.000 atau sejumlah sampel bootstrap yang kami inginkan.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Metode 2: Tulis rumus Anda sendiri<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Cara lain untuk menghitung kesalahan standar bootstrap adalah dengan menulis fungsi kita sendiri.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara melakukan ini:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible<\/span>\nset. <span style=\"color: #3366ff;\">seeds<\/span> (10)\n\n<span style=\"color: #008080;\">#load boot library\n<\/span><span style=\"color: #993300;\">library<\/span> (boot)\n\n<span style=\"color: #008080;\">#define dataset\n<\/span>x &lt;- c(12, 14, 14, 15, 18, 21, 25, 29, 32, 35)\n\nmean(replicate(100, sd( <span style=\"color: #3366ff;\">sample<\/span> (x, replace= <span style=\"color: #008000;\">T<\/span> ))\/sqrt( <span style=\"color: #3366ff;\">length<\/span> (x))))\n\n[1] 2.497414\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kesalahan standar bootstrap ternyata <strong>2.497414<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa kesalahan standar ini sangat mirip dengan yang dihitung pada contoh sebelumnya.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bootstrapping adalah metode yang dapat digunakan untuk memperkirakan kesalahan standar suatu mean. Proses dasar untuk menghitung kesalahan standar bootstrap adalah sebagai berikut: Ambil k sampel replikasi dengan penggantian dari kumpulan data tertentu. Untuk setiap sampel, hitung kesalahan standarnya: s\/\u221a n Hal ini menghasilkan k estimasi kesalahan standar yang berbeda. Untuk menemukan kesalahan standar bootstrap, ambil [&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 menghitung kesalahan standar bootstrap di R - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menggunakan bootstrapping untuk menghitung standard error di R, dengan beberapa contoh.\" \/>\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\/kesalahan-standar-bootstrap-di-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghitung kesalahan standar bootstrap di R - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menggunakan bootstrapping untuk menghitung standard error di R, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/kesalahan-standar-bootstrap-di-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-25T13:57:43+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=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/kesalahan-standar-bootstrap-di-r\/\",\"url\":\"https:\/\/statorials.org\/id\/kesalahan-standar-bootstrap-di-r\/\",\"name\":\"Cara menghitung kesalahan standar bootstrap di R - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-25T13:57:43+00:00\",\"dateModified\":\"2023-07-25T13:57:43+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menggunakan bootstrapping untuk menghitung standard error di R, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/kesalahan-standar-bootstrap-di-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/kesalahan-standar-bootstrap-di-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/kesalahan-standar-bootstrap-di-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung kesalahan standar bootstrap 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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