{"id":3902,"date":"2023-07-14T21:02:11","date_gmt":"2023-07-14T21:02:11","guid":{"rendered":"https:\/\/statorials.org\/id\/manisan-r\/"},"modified":"2023-07-14T21:02:11","modified_gmt":"2023-07-14T21:02:11","slug":"manisan-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/manisan-r\/","title":{"rendered":"Cara menggunakan fungsi confit() di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Anda dapat menggunakan fungsi <strong>confint()<\/strong> di R untuk menghitung interval kepercayaan untuk satu atau beberapa parameter dalam model regresi yang sesuai.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Fungsi ini menggunakan sintaks dasar berikut:<\/span><\/p>\n<p> <strong><span style=\"color: #000000;\">batasan(objek, parm, level=0,95)<\/span><\/strong><\/p>\n<p> <span style=\"color: #000000;\">Emas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>objek<\/strong> : Nama model regresi yang dipasang<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>parm<\/strong> : Parameter untuk menghitung interval kepercayaan (default adalah semua)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>level<\/strong> : Tingkat kepercayaan untuk digunakan (nilai default adalah 0,95)<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan fungsi ini dalam praktiknya.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh: Cara menggunakan fungsi confit() di R<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Misalkan kita memiliki kerangka data berikut di R yang menunjukkan jumlah jam yang dihabiskan untuk belajar, jumlah ujian praktik yang diambil, dan nilai ujian akhir 10 siswa dalam satu kelas:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (score=c(77, 79, 84, 85, 88, 99, 95, 90, 92, 94),\n                 hours=c(1, 1, 2, 3, 2, 4, 4, 2, 3, 3),\n                 prac_exams=c(2, 3, 3, 2, 4, 5, 4, 3, 5, 4))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n   score hours prac_exams\n1 77 1 2\n2 79 1 3\n3 84 2 3\n4 85 3 2\n5 88 2 4\n6 99 4 5\n7 95 4 4\n8 90 2 3\n9 92 3 5\n10 94 3 4\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Sekarang anggaplah kita ingin memasukkan model regresi linier berganda berikut ke dalam R:<\/span><\/p>\n<p> <span style=\"color: #000000;\">Nilai ujian = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> (jam) + \u03b2 <sub>2<\/sub> (ujian praktik)<\/span><\/p>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan fungsi <a href=\"https:\/\/statorials.org\/id\/fungsi-lm-di-r\/\" target=\"_blank\" rel=\"noopener\">lm()<\/a> untuk mengadaptasi model ini:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>fit &lt;- lm(score ~ hours + prac_exams, data=df)\n\n<span style=\"color: #008080;\">#view summary of model\n<\/span>summary(fit)\n\nCall:\nlm(formula = score ~ hours + prac_exams, data = df)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-2.4324 -1.2632 -0.8956 0.4316 5.1412 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 68.4029 2.8723 23.815 5.85e-08 ***\nhours 4.1912 0.9961 4.207 0.0040 ** \nprac_exams 2.6912 0.9961 2.702 0.0306 *  \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 2.535 on 7 degrees of freedom\nMultiple R-squared: 0.9005, Adjusted R-squared: 0.8721 \nF-statistic: 31.68 on 2 and 7 DF, p-value: 0.0003107\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa ringkasan model menampilkan koefisien regresi yang sesuai:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Intersep = 68.4029<\/span><\/li>\n<li> <span style=\"color: #000000;\">jam = 4,1912<\/span><\/li>\n<li> <span style=\"color: #000000;\">latihan_ujian = 2,6912<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Untuk mendapatkan interval kepercayaan 95% untuk masing-masing koefisien ini, kita dapat menggunakan fungsi <strong>confint()<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 95% confidence interval for each coefficient in model<\/span>\nconfined(fit)\n\n                 2.5% 97.5%\n(Intercept) 61.6111102 75.194772\nhours 1.8357237 6.546629\nprac_exams 0.3357237 5.046629\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Interval kepercayaan 95% untuk setiap parameter ditunjukkan:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">95% CI untuk intersep = [61.61, 75.19]<\/span><\/li>\n<li> <span style=\"color: #000000;\">95% CI selama berjam-jam = [1,84, 6,55]<\/span><\/li>\n<li> <span style=\"color: #000000;\">95% CI untuk ujian_latihan = [0,34, 5,05]<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Untuk menghitung interval kepercayaan 99%, cukup ubah nilai argumen <strong>level<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 99% confidence interval for each coefficient in model\n<\/span>confint(fit, level= <span style=\"color: #008000;\">0.99<\/span> )\n\n                 0.5% 99.5%\n(Intercept) 58.3514926 78.454390\nhours 0.7052664 7.677087\nprac_exams -0.7947336 6.177087\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Dan untuk menghitung interval kepercayaan saja untuk parameter tertentu, cukup tentukan koefisien menggunakan argumen <strong>parm<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 99% confidence interval for hours\n<\/span>confint(fit, parm=' <span style=\"color: #ff0000;\">hours<\/span> ', level= <span style=\"color: #008000;\">0.99<\/span> )\n\n          0.5% 99.5%\nhours 0.7052664 7.677087\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa interval kepercayaan 99% hanya ditampilkan untuk variabel jam.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Tutorial berikut memberikan informasi tambahan tentang regresi linier di R:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/menafsirkan-keluaran-regresi-di-r\/\" target=\"_blank\" rel=\"noopener\">Bagaimana menafsirkan keluaran regresi di R<\/a><br \/> <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>Anda dapat menggunakan fungsi confint() di R untuk menghitung interval kepercayaan untuk satu atau beberapa parameter dalam model regresi yang sesuai. Fungsi ini menggunakan sintaks dasar berikut: batasan(objek, parm, level=0,95) Emas: objek : Nama model regresi yang dipasang parm : Parameter untuk menghitung interval kepercayaan (default adalah semua) level : Tingkat kepercayaan untuk digunakan (nilai [&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 menggunakan fungsi confint() di R - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menggunakan fungsi confint() di R untuk membuat interval kepercayaan untuk parameter model regresi.\" \/>\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\/manisan-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menggunakan fungsi confint() di R - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menggunakan fungsi confint() di R untuk membuat interval kepercayaan untuk parameter model regresi.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/manisan-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-14T21:02:11+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=\"2 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/manisan-r\/\",\"url\":\"https:\/\/statorials.org\/id\/manisan-r\/\",\"name\":\"Cara menggunakan fungsi confint() di R - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-14T21:02:11+00:00\",\"dateModified\":\"2023-07-14T21:02:11+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menggunakan fungsi confint() di R untuk membuat interval kepercayaan untuk parameter model regresi.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/manisan-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/manisan-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/manisan-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menggunakan fungsi confit() 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 menggunakan fungsi confint() di R - Statorials","description":"Tutorial ini menjelaskan cara menggunakan fungsi confint() di R untuk membuat interval kepercayaan untuk parameter model regresi.","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\/manisan-r\/","og_locale":"id_ID","og_type":"article","og_title":"Cara menggunakan fungsi confint() di R - Statorials","og_description":"Tutorial ini menjelaskan cara menggunakan fungsi confint() di R untuk membuat interval kepercayaan untuk parameter model regresi.","og_url":"https:\/\/statorials.org\/id\/manisan-r\/","og_site_name":"Statorials","article_published_time":"2023-07-14T21:02:11+00:00","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\/manisan-r\/","url":"https:\/\/statorials.org\/id\/manisan-r\/","name":"Cara menggunakan fungsi confint() di R - Statorials","isPartOf":{"@id":"https:\/\/statorials.org\/id\/#website"},"datePublished":"2023-07-14T21:02:11+00:00","dateModified":"2023-07-14T21:02:11+00:00","author":{"@id":"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81"},"description":"Tutorial ini menjelaskan cara menggunakan fungsi confint() di R untuk membuat interval kepercayaan untuk parameter model regresi.","breadcrumb":{"@id":"https:\/\/statorials.org\/id\/manisan-r\/#breadcrumb"},"inLanguage":"id","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/id\/manisan-r\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/id\/manisan-r\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/statorials.org\/id\/"},{"@type":"ListItem","position":2,"name":"Cara menggunakan fungsi confit() 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\/3902"}],"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=3902"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/3902\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/media?parent=3902"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/categories?post=3902"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/tags?post=3902"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}