{"id":1452,"date":"2023-07-26T08:02:50","date_gmt":"2023-07-26T08:02:50","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%81%ae%e3%83%95%e3%82%9a%e3%83%ad%e3%83%83%e3%83%88%e3%81%ab%e5%9b%9e%e5%b8%b0%e5%bc%8f%e3%82%92%e8%bf%bd%e5%8a%a0%e3%81%97%e3%81%be%e3%81%99%e3%80%82\/"},"modified":"2023-07-26T08:02:50","modified_gmt":"2023-07-26T08:02:50","slug":"r-%e3%81%ae%e3%83%95%e3%82%9a%e3%83%ad%e3%83%83%e3%83%88%e3%81%ab%e5%9b%9e%e5%b8%b0%e5%bc%8f%e3%82%92%e8%bf%bd%e5%8a%a0%e3%81%97%e3%81%be%e3%81%99%e3%80%82","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%81%ae%e3%83%95%e3%82%9a%e3%83%ad%e3%83%83%e3%83%88%e3%81%ab%e5%9b%9e%e5%b8%b0%e5%bc%8f%e3%82%92%e8%bf%bd%e5%8a%a0%e3%81%97%e3%81%be%e3%81%99%e3%80%82\/","title":{"rendered":"R \u306e\u30d7\u30ed\u30c3\u30c8\u306b\u56de\u5e30\u5f0f\u3092\u8ffd\u52a0\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u591a\u304f\u306e\u5834\u5408\u3001\u6b21\u306e\u3088\u3046\u306b\u56de\u5e30\u5f0f\u3092 R \u306e\u30d7\u30ed\u30c3\u30c8\u306b\u8ffd\u52a0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-14408 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/regequationr1.png\" alt=\"R \u306b\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u56de\u5e30\u5f0f\u3092\u8ffd\u52a0\u3057\u307e\u3059\" width=\"468\" height=\"459\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u5e78\u3044\u306a\u3053\u3068\u306b\u3001\u3053\u308c\u306f<strong>ggplot2<\/strong>\u304a\u3088\u3073<strong>ggpubr<\/strong>\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u975e\u5e38\u306b\u7c21\u5358\u306b\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u3053\u308c\u3089\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066 R \u306e\u30d7\u30ed\u30c3\u30c8\u306b\u56de\u5e30\u65b9\u7a0b\u5f0f\u3092\u8ffd\u52a0\u3059\u308b\u65b9\u6cd5\u3092\u6bb5\u968e\u7684\u306b\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><strong><span style=\"color: #000000;\">\u30b9\u30c6\u30c3\u30d7 1: \u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u3059\u308b<\/span><\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u307e\u305a\u3001\u64cd\u4f5c\u3059\u308b\u507d\u306e\u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u3057\u307e\u3057\u3087\u3046\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (1)\n\n<span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x = c(1:100))\ndf$y &lt;- 4*df$x + rnorm(100, sd=20)\n\n<span style=\"color: #008080;\">#view head of data frame\n<\/span>head(df)\n\n  xy\n1 1 -8.529076\n2 2 11.672866\n3 3 -4.712572\n4 4 47.905616\n5 5 26.590155\n6 6 7.590632<\/strong><\/pre>\n<h3><strong><span style=\"color: #000000;\">\u30b9\u30c6\u30c3\u30d7 2: \u56de\u5e30\u5f0f\u3092\u4f7f\u7528\u3057\u3066\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b<\/span><\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u8fd1\u4f3c\u3055\u308c\u305f\u56de\u5e30\u76f4\u7dda\u3068\u65b9\u7a0b\u5f0f\u3092\u542b\u3080\u6563\u5e03\u56f3\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load necessary libraries\n<\/span><span style=\"color: #993300;\">library<\/span> (ggplot2)\n<span style=\"color: #993300;\">library<\/span> (ggpubr)\n\n<span style=\"color: #008080;\">#create plot with regression line and regression equation\n<\/span>ggplot(data=df, <span style=\"color: #3366ff;\">aes<\/span> (x=x, y=y)) +\n        geom_smooth(method=\" <span style=\"color: #008000;\">lm<\/span> \") +\n        geom_point() +\n        stat_regline_equation(label. <span style=\"color: #3366ff;\">x<\/span> =30, label. <span style=\"color: #3366ff;\">y<\/span> =310)<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-14408 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/regequationr1.png\" alt=\"R \u306b\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u56de\u5e30\u5f0f\u3092\u8ffd\u52a0\u3057\u307e\u3059\" width=\"468\" height=\"459\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306b\u3088\u308a\u3001\u8fd1\u4f3c\u3055\u308c\u305f\u56de\u5e30\u5f0f\u306f\u6b21\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<p> <strong><span style=\"color: #000000;\">y = 2.6 + 4*(x)<\/span><\/strong><\/p>\n<p> <span style=\"color: #000000;\"><strong>label.x<\/strong>\u3068<strong>label.y<\/strong>\u306f\u3001\u8868\u793a\u3059\u308b\u56de\u5e30\u5f0f\u306e (x,y) \u5ea7\u6a19\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<h3><strong><span style=\"color: #000000;\">\u30b9\u30c6\u30c3\u30d7 3: \u30d7\u30ed\u30c3\u30c8\u306b R2 \u4e57\u3092\u8ffd\u52a0\u3059\u308b (\u30aa\u30d7\u30b7\u30e7\u30f3)<\/span><\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\u306f\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u306e R 2 \u4e57\u5024\u3092\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;\">#load necessary libraries\n<\/span><span style=\"color: #993300;\">library<\/span> (ggplot2)\n<span style=\"color: #993300;\">library<\/span> (ggpubr)\n\n<span style=\"color: #008080;\">#create plot with regression line, regression equation, and R-squared\n<\/span>ggplot(data=df, <span style=\"color: #3366ff;\">aes<\/span> (x=x, y=y)) +\n        geom_smooth(method=\" <span style=\"color: #008000;\">lm<\/span> \") +\n        geom_point() +\n        stat_regline_equation(label. <span style=\"color: #3366ff;\">x<\/span> =30, label. <span style=\"color: #3366ff;\">y<\/span> =310) +\nstat_cor( <span style=\"color: #3366ff;\">aes<\/span> (label=..rr.label..), label. <span style=\"color: #3366ff;\">x<\/span> =30, label. <span style=\"color: #3366ff;\">y<\/span> =290)<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-14409 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/regequationr2.png\" alt=\"ggplot2 \u306e\u65b9\u7a0b\u5f0f\u3068 R \u4e8c\u4e57\u5024\u3092\u4f7f\u7528\u3057\u305f\u56de\u5e30\u76f4\u7dda\" width=\"471\" height=\"464\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30e2\u30c7\u30eb\u306e<a href=\"https:\/\/statorials.org\/ja\/\u826f\u597d\u306ar\u4e8c\u4e57\u5024\/\" target=\"_blank\" rel=\"noopener\">R \u4e8c\u4e57\u306f<\/a><strong>0.98<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<hr>\n<p> <span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/-10\/\" target=\"_blank\" rel=\"noopener\">\u3053\u306e\u30da\u30fc\u30b8<\/a>\u3067\u306f\u3001\u305d\u306e\u4ed6\u306e R \u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u591a\u304f\u306e\u5834\u5408\u3001\u6b21\u306e\u3088\u3046\u306b\u56de\u5e30\u5f0f\u3092 R \u306e\u30d7\u30ed\u30c3\u30c8\u306b\u8ffd\u52a0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 \u5e78\u3044\u306a\u3053\u3068\u306b\u3001\u3053\u308c\u306fggplot2\u304a\u3088\u3073ggpubr\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u975e\u5e38\u306b\u7c21\u5358\u306b\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002 \u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u3053\u308c\u3089\u306e\u30d1\u30c3\u30b1 [&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-1452","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 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