{"id":1613,"date":"2023-07-25T15:47:14","date_gmt":"2023-07-25T15:47:14","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%81%ae%e3%82%a6%e3%82%a7%e3%83%ab%e3%83%81%e3%81%ae%e5%88%86%e6%95%a3%e5%88%86%e6%9e%90\/"},"modified":"2023-07-25T15:47:14","modified_gmt":"2023-07-25T15:47:14","slug":"r-%e3%81%ae%e3%82%a6%e3%82%a7%e3%83%ab%e3%83%81%e3%81%ae%e5%88%86%e6%95%a3%e5%88%86%e6%9e%90","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%81%ae%e3%82%a6%e3%82%a7%e3%83%ab%e3%83%81%e3%81%ae%e5%88%86%e6%95%a3%e5%88%86%e6%9e%90\/","title":{"rendered":"R \u3067\u30a6\u30a7\u30eb\u30c1\u306e\u5206\u6563\u5206\u6790\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5 (\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u30a6\u30a7\u30eb\u30c1\u306e\u5206\u6563\u5206\u6790\u306f\u3001<\/strong><a href=\"https:\/\/statorials.org\/ja\/\u7b49\u5206\u6563\u4eee\u5b9a\/\" target=\"_blank\" rel=\"noopener\">\u5206\u6563\u306e\u7b49\u4fa1\u6027\u306e\u4eee\u5b9a\u304c<\/a>\u6e80\u305f\u3055\u308c\u306a\u3044\u5834\u5408\u306e\u5178\u578b\u7684\u306a<a href=\"https:\/\/statorials.org\/ja\/\u4e00\u65b9\u5411\u5206\u6563\u5206\u6790\/\" target=\"_blank\" rel=\"noopener\">\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790<\/a>\u306e\u4ee3\u66ff\u624b\u6bb5\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u6bb5\u968e\u7684\u306a\u4f8b\u306f\u3001R \u3067 Welch \u306e ANOVA \u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 1: \u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">3 \u3064\u306e\u7570\u306a\u308b\u5b66\u7fd2\u624b\u6cd5\u304c\u7570\u306a\u308b\u8a66\u9a13\u7d50\u679c\u306b\u3064\u306a\u304c\u308b\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3059\u308b\u305f\u3081\u306b\u3001\u6559\u6388\u306f 10 \u4eba\u306e\u5b66\u751f\u3092\u30e9\u30f3\u30c0\u30e0\u306b\u5272\u308a\u5f53\u3066\u3066\u30011 \u9031\u9593\u5404\u624b\u6cd5 (\u624b\u6cd5 A\u3001B\u3001\u307e\u305f\u306f C) \u3092\u4f7f\u7528\u3055\u305b\u3001\u5404\u5b66\u751f\u306b\u540c\u3058\u96e3\u6613\u5ea6\u306e\u30c6\u30b9\u30c8\u3092\u8ab2\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">30 \u540d\u306e\u5b66\u751f\u306e\u8a66\u9a13\u7d50\u679c\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame<\/span>\ndf &lt;-data. <span style=\"color: #3366ff;\">frame<\/span> (group = <span style=\"color: #3366ff;\">rep<\/span> (c(' <span style=\"color: #008000;\">A<\/span> ', ' <span style=\"color: #008000;\">B<\/span> ', ' <span style=\"color: #008000;\">C<\/span> '), <span style=\"color: #3366ff;\">each<\/span> =10),\n                score = c(64, 66, 68, 75, 78, 94, 98, 79, 71, 80,\n                          91, 92, 93, 85, 87, 84, 82, 88, 95, 96,\n                          79, 78, 88, 94, 92, 85, 83, 85, 82, 81))\n\n<span style=\"color: #008080;\">#view first six rows of data frame\n<\/span>head(df)\n\n   group score\n1 to 64\n2 to 66\n3 to 68\n4 to 75\n5 to 78\n6 to 94<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 2: \u7b49\u5dee\u691c\u5b9a<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001 <a href=\"https:\/\/statorials.org\/ja\/\u30cf\u3099\u30fc\u30c8\u30ec\u30c3\u30c8\u30c6\u30b9\u30c8\/\" target=\"_blank\" rel=\"noopener\">\u30d0\u30fc\u30c8\u30ec\u30c3\u30c8\u691c\u5b9a<\/a>\u3092\u5b9f\u884c\u3057\u3066\u3001\u5404\u30b0\u30eb\u30fc\u30d7\u9593\u306e\u5206\u6563\u304c\u7b49\u3057\u3044\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u691c\u5b9a\u7d71\u8a08\u91cf\u306e<a href=\"https:\/\/statorials.org\/ja\/p-\u5024\u306e\u7d71\u8a08\u7684\u6709\u610f\u6027\/\" target=\"_blank\" rel=\"noopener\">p \u5024\u304c<\/a>\u7279\u5b9a\u306e\u6709\u610f\u6c34\u6e96 (\u03b1 = 0.05 \u306a\u3069) \u3092\u4e0b\u56de\u3063\u3066\u3044\u308b\u5834\u5408\u3001\u5e30\u7121\u4eee\u8aac\u3092\u68c4\u5374\u3057\u3001\u3059\u3079\u3066\u306e\u30b0\u30eb\u30fc\u30d7\u306e\u5206\u6563\u304c\u540c\u3058\u3067\u306f\u306a\u3044\u3068\u7d50\u8ad6\u4ed8\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bartlett \u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u306b\u306f\u3001\u57fa\u672c R \u3067<strong>bartlett.test<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u95a2\u6570\u306f\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>bartlett.test(\u5f0f\u3001\u30c7\u30fc\u30bf)<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u4f8b\u3067\u3053\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#perform Bartlett's test\n<\/span>bartlett. <span style=\"color: #3366ff;\">test<\/span> (score ~ group, data = df)\n\n\tBartlett test of homogeneity of variances\n\ndata: score by group\nBartlett's K-squared = 8.1066, df = 2, p-value = 0.01737\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Bartlett \u691c\u5b9a\u306e p \u5024 ( <strong>.01737<\/strong> ) \u306f \u03b1 = .05 \u672a\u6e80\u3067\u3059\u3002\u3053\u308c\u306f\u3001\u5404\u30b0\u30eb\u30fc\u30d7\u306e\u5206\u6563\u304c\u540c\u3058\u3067\u3042\u308b\u3068\u3044\u3046\u5e30\u7121\u4eee\u8aac\u3092\u68c4\u5374\u3067\u304d\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3057\u305f\u304c\u3063\u3066\u3001\u5206\u6563\u306e\u7b49\u4fa1\u6027\u306e\u4eee\u5b9a\u304c\u7834\u3089\u308c\u3001Welch \u306e ANOVA \u3092\u7d9a\u884c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 3: \u30a6\u30a7\u30eb\u30c1\u306e ANOVA \u3092\u5b9f\u884c\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">R \u3067\u30a6\u30a7\u30eb\u30c1\u306e\u5206\u6563\u5206\u6790\u3092\u5b9f\u884c\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u3088\u3046\u306b R \u30d9\u30fc\u30b9\u306e<strong>oneway.test()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#perform Welch's ANOVA\n<\/span>oneway. <span style=\"color: #3366ff;\">test<\/span> (score ~ group, data = df, var. <span style=\"color: #3366ff;\">equal<\/span> = <span style=\"color: #008000;\">FALSE<\/span> )\n\n\tOne-way analysis of means (not assuming equal variances)\n\ndata: score and group\nF = 5.3492, num df = 2.00, denom df = 16.83, p-value = 0.01591\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">ANOVA \u8868\u5168\u4f53\u306e p \u5024 ( <strong>0.01591<\/strong> ) \u306f \u03b1 = 0.05 \u672a\u6e80\u3067\u3059\u3002\u3053\u308c\u306f\u3001\u8a66\u9a13\u7d50\u679c\u304c 3 \u3064\u306e\u7814\u7a76\u624b\u6cd5\u9593\u3067\u7b49\u3057\u3044\u3068\u3044\u3046\u5e30\u7121\u4eee\u8aac\u3092\u68c4\u5374\u3067\u304d\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001\u4e8b\u5f8c\u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3057\u3066\u3001\u3069\u306e\u30b0\u30eb\u30fc\u30d7\u306e\u5e73\u5747\u304c\u7570\u306a\u308b\u304b\u3092\u5224\u65ad\u3067\u304d\u307e\u3059\u3002 R \u3067\u3055\u307e\u3056\u307e\u306a\u4e8b\u5f8c\u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<ul>\n<li> <a href=\"https:\/\/statorials.org\/ja\/r\u306e\u30db\u3099\u30f3\u30d5\u30a7\u30ed\u30fc\u30cb\u88dc\u6b63\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u30dc\u30f3\u30d5\u30a7\u30ed\u30fc\u30cb\u88dc\u6b63\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><\/li>\n<li><a href=\"https:\/\/statorials.org\/ja\/\u30c6\u30e5\u30fc\u30ad\u30fc\u30c6\u30b9\u30c8r\/\" target=\"_blank\" rel=\"noopener\">R \u3067 Tukey \u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><\/li>\n<li><a href=\"https:\/\/statorials.org\/ja\/r\u306e\u30c6\u30b9\u30c8\u30de\u30cd\u30fc\u30b7\u3099\u30e3\u30fc\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u30b7\u30a7\u30c3\u30d5\u30a7 \u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/\u30c6\u30e5\u30fc\u30ad\u30fc-vs-\u30db\u3099\u30f3\u30d5\u30a7\u30ed\u30fc\u30cb-vs-\u30b7\u30a7\u30c3\u30d5\u30a7\/\" target=\"_blank\" rel=\"noopener\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092<\/a>\u53c2\u7167\u3057\u3066\u3001\u72b6\u6cc1\u306b\u5fdc\u3058\u3066\u3069\u306e\u4e8b\u5f8c\u30c6\u30b9\u30c8\u3092\u4f7f\u7528\u3059\u308b\u306e\u304c\u6700\u9069\u304b\u3092\u5224\u65ad\u3057\u3066\u304f\u3060\u3055\u3044\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\/\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u5206\u6563\u5206\u6790\u53cc\u65b9\u5411\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u4e8c\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r-\u3066\u3099\u306e\u53cd\u5fa9\u6e2c\u5b9a\u306e\u5206\u6563\u5206\u6790\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u53cd\u5fa9\u6e2c\u5b9a ANOVA \u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u30a6\u30a7\u30eb\u30c1\u306e\u5206\u6563\u5206\u6790\u306f\u3001\u5206\u6563\u306e\u7b49\u4fa1\u6027\u306e\u4eee\u5b9a\u304c\u6e80\u305f\u3055\u308c\u306a\u3044\u5834\u5408\u306e\u5178\u578b\u7684\u306a\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u306e\u4ee3\u66ff\u624b\u6bb5\u3067\u3059\u3002 \u6b21\u306e\u6bb5\u968e\u7684\u306a\u4f8b\u306f\u3001R \u3067 Welch \u306e ANOVA \u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002 \u30b9\u30c6\u30c3\u30d7 1: \u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u3059\u308b [&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-1613","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\u30a6\u30a7\u30eb\u30c1\u306e\u5206\u6563\u5206\u6790\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5 (\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7)<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u30a6\u30a7\u30eb\u30c1\u306e\u5206\u6563\u5206\u6790\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u3001\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7\u306e\u4f8b\u3092\u542b\u3081\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\" 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