{"id":1974,"date":"2023-07-24T05:44:05","date_gmt":"2023-07-24T05:44:05","guid":{"rendered":"https:\/\/statorials.org\/ja\/r%e3%81%aelm%e9%96%a2%e6%95%b0\/"},"modified":"2023-07-24T05:44:05","modified_gmt":"2023-07-24T05:44:05","slug":"r%e3%81%aelm%e9%96%a2%e6%95%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r%e3%81%aelm%e9%96%a2%e6%95%b0\/","title":{"rendered":"R \u3067 lm() \u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u7dda\u5f62\u30e2\u30c7\u30eb\u3092\u8fd1\u4f3c\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R \u306e<strong>lm()<\/strong>\u95a2\u6570\u306f\u3001\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u8fd1\u4f3c\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u95a2\u6570\u306f\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>lm(\u5f0f\u3001\u30c7\u30fc\u30bf\u3001\u2026)<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u5f0f:<\/strong>\u7dda\u5f62\u30e2\u30c7\u30eb\u306e\u5f0f (\u4f8b: y ~ x1 + x2)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>data:<\/strong>\u30c7\u30fc\u30bf\u3092\u542b\u3080\u30c7\u30fc\u30bf \u30d6\u30ed\u30c3\u30af\u306e\u540d\u524d<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001R \u3067\u3053\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u6b21\u306e\u3053\u3068\u3092\u884c\u3046\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u5f53\u3066\u306f\u3081\u308b<\/span><\/li>\n<li><span style=\"color: #000000;\">\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u9069\u5408\u6027\u306e\u6982\u8981\u3092\u8868\u793a\u3059\u308b<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30e2\u30c7\u30eb\u8a3a\u65ad\u30d7\u30ed\u30c3\u30c8\u3092\u8868\u793a\u3059\u308b<\/span><\/li>\n<li><span style=\"color: #000000;\">\u8fd1\u4f3c\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b<\/span><\/li>\n<li><span style=\"color: #000000;\">\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u3066\u4e88\u6e2c\u3092\u884c\u3046<\/span><\/li>\n<\/ul>\n<h3><span style=\"color: #000000;\"><strong>\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u5f53\u3066\u306f\u3081\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>lm()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066 R \u3067\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u8fd1\u4f3c\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;\">#define data<\/span>\ndf = data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(1, 3, 3, 4, 5, 5, 6, 8, 9, 12),\n                y=c(12, 14, 14, 13, 17, 19, 22, 26, 24, 22))\n\n<span style=\"color: #008080;\">#fit linear regression model using 'x' as predictor and 'y' as response variable<\/span>\nmodel &lt;- lm(y ~ x, data=df)\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u6982\u8981\u3092\u8868\u793a<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001 <strong>summary()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u9069\u5408\u306e\u6982\u8981\u3092\u8868\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view summary of regression model<\/span>\nsummary(model)\n\nCall:\nlm(formula = y ~ x, data = df)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-4.4793 -0.9772 -0.4772 1.4388 4.6328 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 11.1432 1.9104 5.833 0.00039 ***\nx 1.2780 0.2984 4.284 0.00267 ** \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 2.929 on 8 degrees of freedom\nMultiple R-squared: 0.6964, Adjusted R-squared: 0.6584 \nF-statistic: 18.35 on 1 and 8 DF, p-value: 0.002675\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30e2\u30c7\u30eb\u5185\u306e\u6700\u3082\u91cd\u8981\u306a\u5024\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>F \u7d71\u8a08\u91cf<\/strong>= 18.35\u3001\u5bfe\u5fdc\u3059\u308b<strong>p \u5024<\/strong>= 0.002675\u3002\u3053\u306e p \u5024\u306f 0.05 \u672a\u6e80\u3067\u3042\u308b\u305f\u3081\u3001\u30e2\u30c7\u30eb\u5168\u4f53\u3068\u3057\u3066\u306f\u7d71\u8a08\u7684\u306b\u6709\u610f\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u8907\u6570\u306e R \u306e 2 \u4e57<\/strong>= 0.6964\u3002\u3053\u308c\u306f\u3001\u5fdc\u7b54\u5909\u6570 y \u306e\u5909\u52d5\u306e 69.64% \u304c\u4e88\u6e2c\u5909\u6570 x \u306b\u3088\u3063\u3066\u8aac\u660e\u3067\u304d\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>x \u306e\u63a8\u5b9a\u4fc2\u6570<\/strong>: 1.2780\u3002\u3053\u308c\u306f\u3001x \u306e\u5404\u8ffd\u52a0\u5358\u4f4d\u306e\u5897\u52a0\u304c y \u306e\u5e73\u5747 1.2780 \u306e\u5897\u52a0\u306b\u95a2\u9023\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001\u51fa\u529b\u304b\u3089\u306e\u4fc2\u6570\u63a8\u5b9a\u5024\u3092\u4f7f\u7528\u3057\u3066\u3001\u63a8\u5b9a\u56de\u5e30\u5f0f\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">y = 11.1432 + 1.2780*(x)<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u304a\u307e\u3051<\/strong>: R \u3067\u306e\u56de\u5e30\u51fa\u529b\u306e\u5404\u5024\u3092\u89e3\u91c8\u3059\u308b\u305f\u3081\u306e\u5b8c\u5168\u306a\u30ac\u30a4\u30c9\u306f\u3001 <a href=\"https:\/\/statorials.org\/ja\/r-\u306e\u56de\u5e30\u51fa\u529b\u3092\u89e3\u91c8\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">\u3053\u3053\u3067<\/a>\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u30e2\u30c7\u30eb\u8a3a\u65ad\u30d7\u30ed\u30c3\u30c8\u3092\u8868\u793a\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001 <strong>plot()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u8a3a\u65ad\u30d7\u30ed\u30c3\u30c8\u3092\u30d7\u30ed\u30c3\u30c8\u3057\u307e\u3059\u3002<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create diagnostic plots\n<span style=\"color: #000000;\">plot(model)<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-18677 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lm2.png\" alt=\"\" width=\"653\" height=\"649\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3089\u306e\u30b0\u30e9\u30d5\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u306e<a href=\"https:\/\/statorials.org\/ja\/\u6b8b\u57fa\/\" target=\"_blank\" rel=\"noopener\">\u6b8b\u5dee<\/a>\u3092\u5206\u6790\u3057\u3066\u3001\u30e2\u30c7\u30eb\u304c\u30c7\u30fc\u30bf\u306b\u4f7f\u7528\u3059\u308b\u306e\u304c\u9069\u5207\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">R \u3067\u30e2\u30c7\u30eb\u306e\u8a3a\u65ad\u30d7\u30ed\u30c3\u30c8\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u306e\u5b8c\u5168\u306a\u8aac\u660e\u306b\u3064\u3044\u3066\u306f<a href=\"https:\/\/statorials.org\/ja\/r-\u306e\u8a3a\u65ad\u56f3\/\" target=\"_blank\" rel=\"noopener\">\u3001\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb<\/a>\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8fd1\u4f3c\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><strong>abline()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u8fd1\u4f3c\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u30d7\u30ed\u30c3\u30c8\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create scatterplot of raw data<\/span>\nplot(df$x, df$y, col=' <span style=\"color: #ff0000;\">red<\/span> ', main=' <span style=\"color: #ff0000;\">Summary of Regression Model<\/span> ', xlab=' <span style=\"color: #ff0000;\">x<\/span> ', ylab=' <span style=\"color: #ff0000;\">y<\/span> ')\n\n<span style=\"color: #008080;\">#add fitted regression line\n<span style=\"color: #000000;\">abline(model)\n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-18678\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lm3.png\" alt=\"R \u3067 lm() \u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\" width=\"448\" height=\"442\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3><strong>\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u3066\u4e88\u6e2c\u3092\u884c\u3046<\/strong><\/h3>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\"><strong>detect()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u65b0\u3057\u3044\u89b3\u6e2c\u5024\u306e\u5fdc\u7b54\u5024\u3092\u4e88\u6e2c\u3067\u304d\u307e\u3059\u3002<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#define new observation\n<\/span>new &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(5))\n\n<span style=\"color: #008080;\">#use the fitted model to predict the value for the new observation\n<\/span>predict(model, newdata = new)\n\n      1 \n17.5332<\/span>\n<\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30e2\u30c7\u30eb\u306f\u3001\u3053\u306e\u65b0\u3057\u3044\u89b3\u6e2c\u5024\u306e\u5fdc\u7b54\u5024\u304c<strong>17.5332<\/strong>\u306b\u306a\u308b\u3068\u4e88\u6e2c\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\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\/\u91cd\u7dda\u5f62\u56de\u5e30r\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u91cd\u56de\u5e30\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30b9\u30c6\u30c3\u30d5\u309a\u30cf\u3099\u30a4\u30b9\u30c6\u30c3\u30d5\u309a\u56de\u5e30r\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u6bb5\u968e\u7684\u56de\u5e30\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R \u306elm()\u95a2\u6570\u306f\u3001\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u8fd1\u4f3c\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002 \u3053\u306e\u95a2\u6570\u306f\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002 lm(\u5f0f\u3001\u30c7\u30fc\u30bf\u3001\u2026) \u91d1\uff1a \u5f0f:\u7dda\u5f62\u30e2\u30c7\u30eb\u306e\u5f0f (\u4f8b: y ~ x1 + x2) data:\u30c7\u30fc\u30bf\u3092\u542b\u3080\u30c7\u30fc\u30bf  [&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-1974","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() \u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u7dda\u5f62\u30e2\u30c7\u30eb\u3092\u8fd1\u4f3c\u3059\u308b\u65b9\u6cd5 - \u7d71\u8a08<\/title>\n<meta name=\"description\" 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