{"id":1626,"date":"2023-07-25T14:37:56","date_gmt":"2023-07-25T14:37:56","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e5%8a%a0%e9%87%8d%e6%a8%99%e6%ba%96%e5%81%8f%e5%b7%ae-r\/"},"modified":"2023-07-25T14:37:56","modified_gmt":"2023-07-25T14:37:56","slug":"%e5%8a%a0%e9%87%8d%e6%a8%99%e6%ba%96%e5%81%8f%e5%b7%ae-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e5%8a%a0%e9%87%8d%e6%a8%99%e6%ba%96%e5%81%8f%e5%b7%ae-r\/","title":{"rendered":"R \u306e\u52a0\u91cd\u6a19\u6e96\u504f\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u52a0\u91cd\u6a19\u6e96\u504f\u5dee\u306f\u3001<\/strong>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u4e00\u90e8\u306e\u5024\u306e\u91cd\u307f\u304c\u4ed6\u306e\u5024\u3088\u308a\u3082\u9ad8\u3044\u5834\u5408\u306b\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5024\u306e\u5206\u6563\u3092\u6e2c\u5b9a\u3059\u308b\u306e\u306b\u4fbf\u5229\u306a\u65b9\u6cd5\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u52a0\u91cd\u6a19\u6e96\u504f\u5dee\u3092\u8a08\u7b97\u3059\u308b\u5f0f\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-14345 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pondere_sd1.png\" alt=\"\" width=\"218\" height=\"92\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>N:<\/strong><a href=\"https:\/\/statorials.org\/ja\/\u7d71\u8a08\u306b\u304a\u3051\u308b\u89b3\u5bdf\/\" target=\"_blank\" rel=\"noopener\">\u89b3\u6e2c<\/a>\u5024\u306e\u7dcf\u6570<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>M:<\/strong>\u30bc\u30ed\u4ee5\u5916\u306e\u91cd\u307f\u306e\u6570<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>w <sub>i<\/sub> :<\/strong>\u91cd\u307f\u30d9\u30af\u30c8\u30eb<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>x <sub>i<\/sub> :<\/strong>\u30c7\u30fc\u30bf\u5024\u306e\u30d9\u30af\u30c8\u30eb<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong><span style=\"border-top: 1px solid black;\">x<\/span> :<\/strong>\u52a0\u91cd\u5e73\u5747<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">R \u3067\u52a0\u91cd\u6a19\u6e96\u504f\u5dee\u3092\u8a08\u7b97\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001 <strong>Hmisc<\/strong>\u30d1\u30c3\u30b1\u30fc\u30b8\u306e<strong>wt.var()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002\u3053\u306e\u95a2\u6570\u306f\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define data values<\/span>\nx &lt;- c(4, 7, 12, 13, ...)\n\n<span style=\"color: #008080;\">#define weights\n<\/span>wt &lt;- c(.5, 1, 2, 2, ...)\n\n<span style=\"color: #008080;\">#calculate weighted variance\n<\/span>weighted_var &lt;- wtd. <span style=\"color: #3366ff;\">var<\/span> (x, wt)\n\n<span style=\"color: #008080;\">#calculate weighted standard deviation\n<\/span>weighted_sd &lt;- sqrt(weighted_var)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u95a2\u6570\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: \u30d9\u30af\u30c8\u30eb\u306e\u52a0\u91cd\u6a19\u6e96\u504f\u5dee<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001R \u306e\u5358\u4e00\u30d9\u30af\u30c8\u30eb\u306e\u91cd\u307f\u4ed8\u304d\u6a19\u6e96\u504f\u5dee\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: #993300;\">library<\/span> (Hmisc)\n\n<span style=\"color: #008080;\">#define data values<\/span> \nx &lt;- c(14, 19, 22, 25, 29, 31, 31, 38, 40, 41)\n\n<span style=\"color: #008080;\">#define weights<\/span>\nwt &lt;- c(1, 1, 1.5, 2, 2, 1.5, 1, 2, 3, 2)\n\n<span style=\"color: #008080;\">#calculate weighted variance<\/span> \nweighted_var &lt;- wtd. <span style=\"color: #3366ff;\">var<\/span> (x, wt)\n\n<span style=\"color: #008080;\">#calculate weighted standard deviation\n<\/span>sqrt(weighted_var)\n\n[1] 8.570051\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u52a0\u91cd\u6a19\u6e96\u504f\u5dee\u306f<strong>8.57<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: \u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u5217\u306e\u52a0\u91cd\u6a19\u6e96\u504f\u5dee<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001R \u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u306e\u5217\u306e\u91cd\u307f\u4ed8\u304d\u6a19\u6e96\u504f\u5dee\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: #993300;\">library<\/span> (Hmisc)\n<span style=\"color: #008080;\">\n#define data frame\n<span style=\"color: #000000;\">df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (team=c('A', 'A', 'A', 'A', 'A', 'B', 'B', 'C'),\n                 wins=c(2, 9, 11, 12, 15, 17, 18, 19),\n                 dots=c(1, 2, 2, 2, 3, 3, 3, 3))\n\n<span style=\"color: #008080;\">#define weights\n<\/span>wt &lt;- c(1, 1, 1.5, 2, 2, 1.5, 1, 2)\n\n<span style=\"color: #008080;\">#calculate weighted standard deviation of points\n<\/span>sqrt(wtd. <span style=\"color: #3366ff;\">var<\/span> (df$points, wt))\n\n[1] 0.6727938\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30dd\u30a4\u30f3\u30c8\u5217\u306e\u52a0\u91cd\u6a19\u6e96\u504f\u5dee\u306f<strong>0.673<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 3: \u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u8907\u6570\u306e\u5217\u306e\u52a0\u91cd\u6a19\u6e96\u504f\u5dee<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001R \u306e<a href=\"https:\/\/statorials.org\/ja\/rapply-sapply\u3068tapply\u3092\u9069\u7528\u3059\u308b\u305f\u3081\u306e\u30ab\u3099\u30a4\u30c8\u3099\/\" target=\"_blank\" rel=\"noopener\">sapply()<\/a>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u8907\u6570\u306e\u5217\u306e\u52a0\u91cd\u6a19\u6e96\u504f\u5dee\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: #993300;\">library<\/span> (Hmisc)\n<span style=\"color: #008080;\">\n#define data frame\n<span style=\"color: #000000;\">df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (team=c('A', 'A', 'A', 'A', 'A', 'B', 'B', 'C'),\n                 wins=c(2, 9, 11, 12, 15, 17, 18, 19),\n                 dots=c(1, 2, 2, 2, 3, 3, 3, 3))\n\n<span style=\"color: #008080;\">#define weights\n<\/span>wt &lt;- c(1, 1, 1.5, 2, 2, 1.5, 1, 2)\n\n<span style=\"color: #008080;\">#calculate weighted standard deviation of points and wins\n<\/span>sapply(df[c(' <span style=\"color: #008000;\">wins<\/span> ', ' <span style=\"color: #008000;\">points<\/span> ')], function(x) sqrt(wtd. <span style=\"color: #3366ff;\">var<\/span> (x, wt)))\n\n     win points \n4.9535723 0.6727938 \n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u52dd\u5229\u5217\u306e\u52a0\u91cd\u6a19\u6e96\u504f\u5dee\u306f<strong>4.954<\/strong> \u3001\u30dd\u30a4\u30f3\u30c8\u5217\u306e\u52a0\u91cd\u6a19\u6e96\u504f\u5dee\u306f<strong>0.673<\/strong>\u3067\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\/\u52a0\u91cd\u6a19\u6e96\u504f\u5dee-excel\/\" target=\"_blank\" rel=\"noopener\">Excel \u3067\u52a0\u91cd\u6a19\u6e96\u504f\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r\u306e\u6a19\u6e96\u504f\u5dee\/\" target=\"_blank\" rel=\"noopener\">R \u306e\u6a19\u6e96\u504f\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r\u306e\u5909\u52d5\u4fc2\u6570\/\" target=\"_blank\" rel=\"noopener\">R\u306e\u5909\u52d5\u4fc2\u6570\u306e\u8a08\u7b97\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r\u306e\u30d2\u3099\u30fc\u30c1\/\" target=\"_blank\" rel=\"noopener\">R\u3067\u7bc4\u56f2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u52a0\u91cd\u6a19\u6e96\u504f\u5dee\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u4e00\u90e8\u306e\u5024\u306e\u91cd\u307f\u304c\u4ed6\u306e\u5024\u3088\u308a\u3082\u9ad8\u3044\u5834\u5408\u306b\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5024\u306e\u5206\u6563\u3092\u6e2c\u5b9a\u3059\u308b\u306e\u306b\u4fbf\u5229\u306a\u65b9\u6cd5\u3067\u3059\u3002 \u52a0\u91cd\u6a19\u6e96\u504f\u5dee\u3092\u8a08\u7b97\u3059\u308b\u5f0f\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002 \u91d1\uff1a N:\u89b3\u6e2c\u5024\u306e\u7dcf\u6570 M:\u30bc\u30ed\u4ee5\u5916\u306e\u91cd\u307f\u306e\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-1626","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 \u306e\u52a0\u91cd\u6a19\u6e96\u504f\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u306e\u52a0\u91cd\u6a19\u6e96\u504f\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u4f8b\u3092\u793a\u3057\u3066\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\" 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