{"id":3969,"date":"2023-07-14T10:29:30","date_gmt":"2023-07-14T10:29:30","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-cor-%e9%96%a2%e6%95%b0\/"},"modified":"2023-07-14T10:29:30","modified_gmt":"2023-07-14T10:29:30","slug":"r-cor-%e9%96%a2%e6%95%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-cor-%e9%96%a2%e6%95%b0\/","title":{"rendered":"Cor() \u3092\u4f7f\u7528\u3057\u3066 r \u306e\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R \u306e<strong>cor()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5909\u6570\u9593\u306e\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u6a5f\u80fd\u306e\u6700\u3082\u4e00\u822c\u7684\u306a\u4f7f\u7528\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 1: 2 \u3064\u306e\u5909\u6570\u9593\u306e\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>cor(df$x, df$y)<\/strong><\/pre>\n<p><span style=\"color: #000000;\">2 \u3064\u306e\u9023\u7d9a\u5909\u6570\u9593\u306e\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u5834\u5408\u306f\u3001\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002 \uff08\u8eab\u9577\u3084\u4f53\u91cd\u306a\u3069\uff09<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2: \u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u3059\u3079\u3066\u306e\u6570\u5024\u5909\u6570\u9593\u306e\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>cor(df)<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30e1\u30bd\u30c3\u30c9\u306f\u3001\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u6570\u5024\u5909\u6570\u306e\u30da\u30a2\u3054\u3068\u306e\u7d44\u307f\u5408\u308f\u305b\u9593\u306e\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u542b\u3080<a href=\"https:\/\/statorials.org\/ja\/\u76f8\u95a2\u884c\u5217\u306e\u898b\u65b9\/\" target=\"_blank\" rel=\"noopener\">\u76f8\u95a2\u884c\u5217<\/a>\u3092\u8fd4\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 3: 2 \u3064\u306e\u5909\u6570\u9593\u306e\u30b9\u30d4\u30a2\u30de\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>cor(df$x, df$y, method=' <span style=\"color: #ff0000;\">spearman<\/span> ')<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30e9\u30f3\u30af\u4ed8\u3051\u3055\u308c\u305f 2 \u3064\u306e\u5909\u6570\u9593\u306e\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u5834\u5408\u306f\u3001\u30b9\u30d4\u30a2\u30de\u30f3\u306e\u76f8\u95a2\u4fc2\u6570\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002 (\u4f8b: \u30af\u30e9\u30b9\u5185\u3067\u306e\u751f\u5f92\u306e\u6570\u5b66\u8a66\u9a13\u306e\u30b9\u30b3\u30a2\u306e\u30e9\u30f3\u30ad\u30f3\u30b0\u3068\u79d1\u5b66\u8a66\u9a13\u306e\u30b9\u30b3\u30a2\u306e\u30e9\u30f3\u30ad\u30f3\u30b0)<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 4: 2 \u3064\u306e\u5909\u6570\u9593\u306e\u30b1\u30f3\u30c0\u30eb\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>cor(df$x, df$y, method=' <span style=\"color: #ff0000;\">kendall<\/span> ')<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30b9\u30d4\u30a2\u30de\u30f3\u306e\u76f8\u95a2\u4fc2\u6570\u3092\u4f7f\u7528\u3057\u305f\u3044\u304c\u3001\u30b5\u30f3\u30d7\u30eb \u30b5\u30a4\u30ba\u304c\u5c0f\u3055\u304f\u3001\u540c\u6570\u304c\u591a\u3044\u5834\u5408\u306f\u3001\u30b1\u30f3\u30c0\u30eb\u306e\u76f8\u95a2\u4fc2\u6570\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u30018 \u4eba\u306e\u7570\u306a\u308b\u751f\u5f92\u306e\u5b66\u7fd2\u6642\u9593\u6570\u3001\u53d7\u9a13\u3057\u305f\u6a21\u64ec\u8a66\u9a13\u306e\u6570\u3001\u304a\u3088\u3073\u6700\u7d42\u8a66\u9a13\u306e\u6210\u7e3e\u3092\u793a\u3059 R \u306e\u6b21\u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3092\u4f7f\u7528\u3057\u3066\u3001\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<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (hours=c(1, 1, 3, 2, 4, 3, 5, 6),\n                 prac_exams=c(4, 3, 3, 2, 3, 2, 1, 4),\n                 score=c(69, 74, 74, 70, 89, 85, 99, 90))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n  hours prac_exams score\n1 1 4 69\n2 1 3 74\n3 3 3 74\n4 2 2 70\n5 4 3 89\n6 3 2 85\n7 5 1 99\n8 6 4 90\n<\/span><\/span><\/strong><\/pre>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b 1: 2 \u3064\u306e\u5909\u6570\u9593\u306e\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>cor()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001<strong>\u6642\u9593\u5909\u6570<\/strong>\u3068<strong>\u30b9\u30b3\u30a2<\/strong>\u5909\u6570\u306e\u9593\u306e\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\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;\">#calculate Pearson correlation coefficient between hours and score<\/span>\ncor(df$hours, df$score)\n\n[1] 0.8600528\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u6642\u9593<\/strong>\u3068<strong>\u30b9\u30b3\u30a2<\/strong>\u306e\u9593\u306e\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u306f<strong>0.86 \u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3057\u305f\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u306b NA \u5024\u304c\u3042\u308b\u5834\u5408\u306f\u3001 <strong>use=&#8217;complete.obs&#8217;<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001NA \u5024\u306e\u306a\u3044\u884c\u306e\u307f\u3092\u4f7f\u7528\u3067\u304d\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate Pearson correlation coefficient and ignore any rows with NA<\/span>\ncor(df$hours, df$score, use=' <span style=\"color: #ff0000;\">complete.obs<\/span> ')<\/strong><\/pre>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b 2: \u3059\u3079\u3066\u306e\u6570\u5024\u5909\u6570\u9593\u306e\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>cor()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u3059\u3079\u3066\u306e\u6570\u5024\u5909\u6570\u9593\u306e\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u542b\u3080\u76f8\u95a2\u884c\u5217\u3092\u4f5c\u6210\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;\">#calculate Pearson correlation coefficient between all numeric variables<\/span>\ncor(df)\n\n                hours prac_exams score\nhours 1.0000000 -0.1336063 0.8600528\nprac_exams -0.1336063 1.0000000 -0.3951028\nscore 0.8600528 -0.3951028 1.0000000\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\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>\u6642\u9593<\/strong>\u3068<b>prac_exams<\/b>\u306e\u9593\u306e\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u306f<strong>-0.13<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u6642\u9593<\/strong>\u3068<strong>\u30b9\u30b3\u30a2<\/strong>\u306e\u9593\u306e\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u306f<strong>0.86<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><b>prac_exams<\/b>\u3068<strong>\u30b9\u30b3\u30a2<\/strong>\u306e\u9593\u306e\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u306f<strong>-0.39<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>\u6ce8<\/strong>: \u500b\u3005\u306e\u5909\u6570\u3068\u305d\u308c\u81ea\u4f53\u306e\u9593\u306e\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u306f\u5e38\u306b 1 \u3067\u3059\u3002\u305d\u306e\u305f\u3081\u3001\u76f8\u95a2\u884c\u5217\u306e\u5bfe\u89d2\u306b\u6cbf\u3063\u305f\u5404\u5024\u306f 1 \u306b\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b 3: 2 \u3064\u306e\u5909\u6570\u9593\u306e\u30b9\u30d4\u30a2\u30de\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>cor()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001<strong>\u6642\u9593<\/strong>\u3068<b>prac_exams<\/b>\u5909\u6570\u306e\u9593\u306e\u30b9\u30d4\u30a2\u30de\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\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;\">#calculate Spearman correlation coefficient between hours and prac_exams<\/span>\ncor(df$hours, df$prac_exams, method=' <span style=\"color: #ff0000;\">spearman<\/span> ')\n\n[1] -0.1250391\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u6642\u9593<\/strong>\u3068<b>prac_exams<\/b>\u306e\u9593\u306e\u30b9\u30d4\u30a2\u30de\u30f3\u76f8\u95a2\u4fc2\u6570\u306f<strong>-0.125 \u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/strong><\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b 4: 2 \u3064\u306e\u5909\u6570\u9593\u306e Kendall \u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>cor()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001<strong>\u6642\u9593\u5909\u6570<\/strong>\u3068<b>prac_exams<\/b>\u5909\u6570\u306e\u9593\u306e\u30b1\u30f3\u30c0\u30eb\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\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;\">#calculate Kendall's correlation coefficient between hours and prac_exams<\/span>\ncor(df$hours, df$prac_exams, method=' <span style=\"color: #ff0000;\">kendall<\/span> ')\n\n[1] -0.1226791\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u6642\u9593<\/strong>\u3068<b>prac_exams \u306e<\/b>\u9593\u306e Kendall \u306e\u76f8\u95a2\u4fc2\u6570\u306f<strong>-0.123 \u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/strong><\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\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-\u306e\u30ed\u30fc\u30ea\u30f3\u30af\u3099\u76f8\u95a2\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u30b9\u30e9\u30a4\u30c9\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r\u306e\u81ea\u5df1\u76f8\u95a2\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u81ea\u5df1\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u504f\u76f8\u95a2r\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u504f\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R \u306ecor()\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5909\u6570\u9593\u306e\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002 \u3053\u306e\u6a5f\u80fd\u306e\u6700\u3082\u4e00\u822c\u7684\u306a\u4f7f\u7528\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002 \u65b9\u6cd5 1: 2 \u3064\u306e\u5909\u6570\u9593\u306e\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\u3059\u308b cor(df$x, df$y) 2 \u3064\u306e\u9023\u7d9a\u5909\u6570 [&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-3969","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site 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