{"id":2834,"date":"2023-07-20T12:04:49","date_gmt":"2023-07-20T12:04:49","guid":{"rendered":"https:\/\/statorials.org\/id\/plot-lm-di-sungai\/"},"modified":"2023-07-20T12:04:49","modified_gmt":"2023-07-20T12:04:49","slug":"plot-lm-di-sungai","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/plot-lm-di-sungai\/","title":{"rendered":"Cara memplot hasil lm() di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Anda dapat menggunakan metode berikut untuk memplot hasil fungsi <strong>lm()<\/strong> di R:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metode 1: Plot lm() menghasilkan basis R<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create scatterplot<\/span>\nplot(y ~ x, data=data)\n\n<span style=\"color: #008080;\">#add fitted regression line to scatterplot<\/span>\nabline(fit)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metode 2: Plot lm() menghasilkan ggplot2<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (ggplot2)<\/span>\n\n#create scatterplot with fitted regression line<\/span>\nggplot(data, <span style=\"color: #3366ff;\">aes<\/span> (x = x, y = y)) + \n  geom_point() +\n  stat_smooth(method = \" <span style=\"color: #ff0000;\">lm<\/span> \")<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan setiap metode dalam praktik dengan <a href=\"https:\/\/statorials.org\/id\/kumpulan-data-mtcars-r\/\" target=\"_blank\" rel=\"noopener\">himpunan data mtcars<\/a> yang dibangun di R.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 1: plot lm() menghasilkan basis R<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara memplot hasil fungsi <strong>lm()<\/strong> di basis R:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit regression model\n<span style=\"color: #000000;\">fit &lt;- lm(mpg ~ wt, data=mtcars)\n\n<span style=\"color: #008080;\">#create scatterplot\n<\/span>plot(mpg ~ wt, data=mtcars)\n\n<span style=\"color: #008080;\">#add fitted regression line to scatterplot\n<\/span>abline(fit)<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-24828 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/plotlm1.jpg\" alt=\"\" width=\"451\" height=\"415\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Titik-titik pada grafik mewakili nilai data mentah dan garis diagonal lurus mewakili garis regresi yang dipasang.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 2: Plot lm() Menghasilkan ggplot2<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara memplot hasil fungsi <strong>lm()<\/strong> menggunakan paket visualisasi data <a href=\"https:\/\/statorials.org\/id\/kumpulan-data-mtcars-r\/\" target=\"_blank\" rel=\"noopener\">ggplot2<\/a> :<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (ggplot2)<\/span>\n\n#fit regression model\n<span style=\"color: #000000;\">fit &lt;- lm(mpg ~ wt, data=mtcars)\n\n<span style=\"color: #008080;\">#create scatterplot with fitted regression line<\/span>\nggplot(mtcars, <span style=\"color: #3366ff;\">aes<\/span> (x = x, y = y)) +\n  geom_point() +\n  stat_smooth(method = \" <span style=\"color: #ff0000;\">lm<\/span> \")\n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-24829 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/plotlm2.jpg\" alt=\"\" width=\"453\" height=\"459\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Garis biru mewakili garis regresi yang sesuai dan pita abu-abu mewakili batas interval kepercayaan 95%.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Untuk menghapus batas interval kepercayaan, cukup gunakan <strong>se=FALSE<\/strong> dalam argumen <strong>stat_smooth()<\/strong> :<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (ggplot2)<\/span> \n\n#fit regression model\n<span style=\"color: #000000;\">fit &lt;- lm(mpg ~ wt, data=mtcars)\n\n<span style=\"color: #008080;\">#create scatterplot with fitted regression line<\/span>\nggplot(mtcars, <span style=\"color: #3366ff;\">aes<\/span> (x = x, y = y)) +\n  geom_point() +\n  stat_smooth(method = \u201c <span style=\"color: #ff0000;\">lm<\/span> \u201d, se= <span style=\"color: #008000;\">FALSE<\/span> )<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-24830\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/plotlm3.jpg\" alt=\"plot lm() memberi R\" width=\"453\" height=\"455\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Anda juga dapat menambahkan persamaan regresi yang sesuai ke dalam grafik menggunakan fungsi <strong>stat_regline_equation()<\/strong> dari paket <strong>ggpubr<\/strong> :<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (ggplot2)\n<span style=\"color: #008000;\">library<\/span> (ggpubr)<\/span>\n\n#fit regression model\n<span style=\"color: #000000;\">fit &lt;- lm(mpg ~ wt, data=mtcars)\n\n<span style=\"color: #008080;\">#create scatterplot with fitted regression line<\/span>\nggplot(mtcars, <span style=\"color: #3366ff;\">aes<\/span> (x = x, y = y)) +\n  geom_point() +\n  stat_smooth(method = \u201c <span style=\"color: #ff0000;\">lm<\/span> \u201d, se= <span style=\"color: #008000;\">FALSE<\/span> ) +\n  stat_regline_equation(label.x.npc = \u201c <span style=\"color: #ff0000;\">center<\/span> \u201d)<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-24831 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/plotlm4.jpg\" alt=\"\" width=\"450\" height=\"449\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\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\/menafsirkan-keluaran-regresi-di-r\/\" target=\"_blank\" rel=\"noopener\">Bagaimana menafsirkan keluaran regresi di R<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/glm-vs-lm-di-r\/\" target=\"_blank\" rel=\"noopener\">Perbedaan antara glm dan lm di R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anda dapat menggunakan metode berikut untuk memplot hasil fungsi lm() di R: Metode 1: Plot lm() menghasilkan basis R #create scatterplot plot(y ~ x, data=data) #add fitted regression line to scatterplot abline(fit) Metode 2: Plot lm() menghasilkan ggplot2 library (ggplot2) #create scatterplot with fitted regression line ggplot(data, aes (x = x, y = y)) + [&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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