{"id":2829,"date":"2023-07-20T12:04:49","date_gmt":"2023-07-20T12:04:49","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%81%a6%e3%82%99-lm-%e3%82%92%e3%83%95%e3%82%9a%e3%83%ad%e3%83%83%e3%83%88%e3%81%99%e3%82%8b\/"},"modified":"2023-07-20T12:04:49","modified_gmt":"2023-07-20T12:04:49","slug":"r-%e3%81%a6%e3%82%99-lm-%e3%82%92%e3%83%95%e3%82%9a%e3%83%ad%e3%83%83%e3%83%88%e3%81%99%e3%82%8b","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%81%a6%e3%82%99-lm-%e3%82%92%e3%83%95%e3%82%9a%e3%83%ad%e3%83%83%e3%83%88%e3%81%99%e3%82%8b\/","title":{"rendered":"Lm() \u306e\u7d50\u679c\u3092 r \u306b\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001R \u306e<strong>lm()<\/strong>\u95a2\u6570\u306e\u7d50\u679c\u3092\u30d7\u30ed\u30c3\u30c8\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 1: lm() \u306e\u7d50\u679c\u3092\u57fa\u6570 R \u3067\u30d7\u30ed\u30c3\u30c8\u3059\u308b<\/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>\u65b9\u6cd5 2: lm() \u306e\u7d50\u679c\u3092 ggplot2 \u306b\u30d7\u30ed\u30c3\u30c8\u3059\u308b<\/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;\">\u6b21\u306e\u4f8b\u306f\u3001R \u306b\u7d44\u307f\u8fbc\u307e\u308c\u3066\u3044\u308b<a href=\"https:\/\/statorials.org\/ja\/mtcars-r-\u30c6\u3099\u30fc\u30bf\u30bb\u30c3\u30c8\/\" target=\"_blank\" rel=\"noopener\">mtcars \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<\/a>\u3092\u4f7f\u7528\u3057\u3066\u5404\u30e1\u30bd\u30c3\u30c9\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: lm() \u306e\u7d50\u679c\u306e\u57fa\u6570 R \u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>lm()<\/strong>\u95a2\u6570\u306e\u7d50\u679c\u3092\u57fa\u6570 R \u3067\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/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=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u30b0\u30e9\u30d5\u5185\u306e\u70b9\u306f\u751f\u30c7\u30fc\u30bf\u5024\u3092\u8868\u3057\u3001\u76f4\u7dda\u306e\u5bfe\u89d2\u7dda\u306f\u8fd1\u4f3c\u3055\u308c\u305f\u56de\u5e30\u76f4\u7dda\u3092\u8868\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: lm() \u306e\u7d50\u679c\u3092 ggplot2 \u306b\u30d7\u30ed\u30c3\u30c8\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <a href=\"https:\/\/statorials.org\/ja\/mtcars-r-\u30c6\u3099\u30fc\u30bf\u30bb\u30c3\u30c8\/\" target=\"_blank\" rel=\"noopener\">ggplot2<\/a>\u30c7\u30fc\u30bf\u8996\u899a\u5316\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u3066<strong>lm()<\/strong>\u95a2\u6570\u306e\u7d50\u679c\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/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=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u9752\u3044\u7dda\u306f\u8fd1\u4f3c\u3055\u308c\u305f\u56de\u5e30\u76f4\u7dda\u3092\u8868\u3057\u3001\u7070\u8272\u306e\u30d0\u30f3\u30c9\u306f 95% \u4fe1\u983c\u533a\u9593\u306e\u9650\u754c\u3092\u8868\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4fe1\u983c\u533a\u9593\u306e\u5883\u754c\u3092\u524a\u9664\u3059\u308b\u306b\u306f\u3001 <strong>stat_smooth()<\/strong>\u5f15\u6570\u3067<strong>se=FALSE<\/strong>\u3092\u4f7f\u7528\u3059\u308b\u3060\u3051\u3067\u3059\u3002<\/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=\"\u30d7\u30ed\u30c3\u30c8 lm() \u306f R \u3092\u4e0e\u3048\u307e\u3059\" width=\"453\" height=\"455\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>ggpubr<\/strong>\u30d1\u30c3\u30b1\u30fc\u30b8\u306e<strong>stat_regline_equation()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u8fd1\u4f3c\u56de\u5e30\u5f0f\u3092\u30b0\u30e9\u30d5\u5185\u306b\u8ffd\u52a0\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/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=\"auto, \"><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/r-\u3066\u3099\u306e\u5358\u7d14\u306a\u7dda\u5f62\u56de\u5e30\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u5358\u7d14\u306a\u7dda\u5f62\u56de\u5e30\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r-\u306e\u56de\u5e30\u51fa\u529b\u3092\u89e3\u91c8\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u56de\u5e30\u51fa\u529b\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/glm-vs-lm-in-r\/\" target=\"_blank\" rel=\"noopener\">R\u306eglm\u3068lm\u306e\u9055\u3044<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6b21\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001R \u306elm()\u95a2\u6570\u306e\u7d50\u679c\u3092\u30d7\u30ed\u30c3\u30c8\u3067\u304d\u307e\u3059\u3002 \u65b9\u6cd5 1: lm() \u306e\u7d50\u679c\u3092\u57fa\u6570 R \u3067\u30d7\u30ed\u30c3\u30c8\u3059\u308b #create scatterplot plot(y ~ x, data=data) #add [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-2829","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R \u3067 lm() \u306e\u7d50\u679c\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5 - \u7d71\u8a08<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067 lm() \u306e\u7d50\u679c\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\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\/ja\/r-\u3066\u3099-lm-\u3092\u30d5\u309a\u30ed\u30c3\u30c8\u3059\u308b\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R \u3067 lm() \u306e\u7d50\u679c\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5 - \u7d71\u8a08\" \/>\n<meta property=\"og:description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067 lm() \u306e\u7d50\u679c\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ja\/r-\u3066\u3099-lm-\u3092\u30d5\u309a\u30ed\u30c3\u30c8\u3059\u308b\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-20T12:04:49+00:00\" \/>\n<meta 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