{"id":3628,"date":"2023-07-16T11:14:31","date_gmt":"2023-07-16T11:14:31","guid":{"rendered":"https:\/\/statorials.org\/id\/ekstrak-kesalahan-standar-dari-lm-di-r\/"},"modified":"2023-07-16T11:14:31","modified_gmt":"2023-07-16T11:14:31","slug":"ekstrak-kesalahan-standar-dari-lm-di-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/ekstrak-kesalahan-standar-dari-lm-di-r\/","title":{"rendered":"Cara mengekstrak kesalahan standar dari fungsi lm() di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Anda dapat menggunakan metode berikut untuk mengekstrak kesalahan standar sisa serta kesalahan standar koefisien regresi individual dari fungsi <a href=\"https:\/\/statorials.org\/id\/fungsi-lm-di-r\/\" target=\"_blank\" rel=\"noopener\">lm()<\/a> di R:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metode 1: Ekstrak sisa kesalahan standar<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#extract residual standard error of regression model\n<span style=\"color: #000000;\">summary(model)$sigma<\/span><\/span>\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metode 2: Ekstrak kesalahan standar koefisien regresi individu<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#extract standard error of individual regression coefficients\n<span style=\"color: #000000;\">sqrt(diag(vcov(model)))<\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan setiap metode dalam praktik.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh: mengekstrak kesalahan standar dari lm() di R<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Misalkan kita memasukkan model regresi linier berganda berikut ke dalam R:<\/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> (rating=c(67, 75, 79, 85, 90, 96, 97),\n                 points=c(8, 12, 16, 15, 22, 28, 24),\n                 assists=c(4, 6, 6, 5, 3, 8, 7),\n                 rebounds=c(1, 4, 3, 3, 2, 6, 7))\n\n<span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- lm(rating ~ points + assists + rebounds, data=df)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan fungsi <strong>ringkasan()<\/strong> untuk menampilkan ringkasan lengkap model regresi:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view model summary\n<\/span>summary(model)\n\nCall:\nlm(formula = rating ~ points + assists + rebounds, data = df)\n\nResiduals:\n      1 2 3 4 5 6 7 \n-1.5902 -1.7181 0.2413 4.8597 -1.0201 -0.6082 -0.1644 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)   \n(Intercept) 66.4355 6.6932 9.926 0.00218 **\npoints 1.2152 0.2788 4.359 0.02232 * \nassists -2.5968 1.6263 -1.597 0.20860   \nrebounds 2.8202 1.6118 1.750 0.17847   \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 3.193 on 3 degrees of freedom\nMultiple R-squared: 0.9589, Adjusted R-squared: 0.9179 \nF-statistic: 23.35 on 3 and 3 DF, p-value: 0.01396\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kesalahan standar sisa model adalah 3,193 dan masing-masing kesalahan standar untuk koefisien regresi individu dapat dilihat pada <strong>Std.<\/strong> Kolom <strong>kesalahan<\/strong> keluaran.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Untuk mengekstrak hanya sisa kesalahan standar dari model, kita dapat menggunakan sintaks berikut:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#extract residual standard error of regression model<\/span>\nsummary(model)$sigma\n\n[1] 3.19339<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Dan untuk mengekstrak hanya kesalahan standar untuk setiap koefisien regresi individual, kita dapat menggunakan sintaks berikut:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#extract standard error of individual regression coefficients<\/span>\nsqrt(diag(vcov(model)))\n\n(Intercept) points assists rebounds \n  6.6931808 0.2787838 1.6262899 1.6117911 \n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa nilai-nilai ini sesuai dengan nilai yang kita lihat sebelumnya di seluruh ringkasan hasil regresi.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Terkait:<\/strong> <a href=\"https:\/\/statorials.org\/id\/bagaimana-menafsirkan-kesalahan-standar-sisa\/\" target=\"_blank\" rel=\"noopener\">Cara Menafsirkan Kesalahan Standar Residu<\/a><\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Tutorial berikut menjelaskan cara melakukan tugas umum lainnya di R:<\/span><\/p>\n<p> <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 \/> <a href=\"https:\/\/statorials.org\/id\/sisa-jejak-r\/\" target=\"_blank\" rel=\"noopener\">Cara membuat plot sisa di R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anda dapat menggunakan metode berikut untuk mengekstrak kesalahan standar sisa serta kesalahan standar koefisien regresi individual dari fungsi lm() di R: Metode 1: Ekstrak sisa kesalahan standar #extract residual standard error of regression model summary(model)$sigma Metode 2: Ekstrak kesalahan standar koefisien regresi individu #extract standard error of individual regression coefficients sqrt(diag(vcov(model))) Contoh berikut menunjukkan cara [&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 - 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