{"id":1059,"date":"2023-07-27T19:32:36","date_gmt":"2023-07-27T19:32:36","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e5%b9%b3%e5%9d%87r%e3%81%ae%e6%a8%99%e6%ba%96%e8%aa%a4%e5%b7%ae\/"},"modified":"2023-07-27T19:32:36","modified_gmt":"2023-07-27T19:32:36","slug":"%e5%b9%b3%e5%9d%87r%e3%81%ae%e6%a8%99%e6%ba%96%e8%aa%a4%e5%b7%ae","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e5%b9%b3%e5%9d%87r%e3%81%ae%e6%a8%99%e6%ba%96%e8%aa%a4%e5%b7%ae\/","title":{"rendered":"R \u306e\u5e73\u5747\u306e\u6a19\u6e96\u8aa4\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u5e73\u5747\u306e\u6a19\u6e96\u8aa4\u5dee\u306f<\/strong>\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5024\u306e\u5206\u5e03\u3092\u6e2c\u5b9a\u3059\u308b\u65b9\u6cd5\u3067\u3059\u3002\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6a19\u6e96\u8aa4\u5dee = s \/ \u221an<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>s<\/strong> : \u30b5\u30f3\u30d7\u30eb\u6a19\u6e96\u504f\u5dee<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>n<\/strong> : \u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6a19\u6e96\u8aa4\u5dee\u3092\u8a08\u7b97\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b 2 \u3064\u306e\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 1: Plotrix \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3059\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5e73\u5747\u306e\u6a19\u6e96\u8aa4\u5dee\u3092\u8a08\u7b97\u3059\u308b\u6700\u521d\u306e\u65b9\u6cd5\u306f\u3001Plotrix \u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u7d44\u307f\u8fbc\u307f<a href=\"https:\/\/www.rdocumentation.org\/packages\/plotrix\/versions\/3.7-8\/topics\/std.error\" target=\"_blank\" rel=\"noopener noreferrer\">std.error()<\/a>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u3053\u306e\u95a2\u6570\u306e\u4f7f\u7528\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: #008000;\">library<\/span> (plotrix)\n\n<span style=\"color: #008080;\">#define dataset<\/span>\ndata &lt;- c(3, 4, 4, 5, 7, 8, 12, 14, 14, 15, 17, 19, 22, 24, 24, 24, 25, 28, 28, 29)\n\n<span style=\"color: #008080;\">#calculate standard error of the mean<\/span> \n<span style=\"color: #000000;\">std.error(data)\n<\/span>\n2.001447<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5e73\u5747\u306e\u6a19\u6e96\u8aa4\u5dee\u306f<strong>2.001447<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2: \u72ec\u81ea\u306e\u95a2\u6570\u3092\u5b9a\u7fa9\u3059\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5e73\u5747\u306e\u6a19\u6e96\u8aa4\u5dee\u3092\u8a08\u7b97\u3059\u308b\u3082\u3046 1 \u3064\u306e\u65b9\u6cd5\u306f\u3001\u72ec\u81ea\u306e\u95a2\u6570\u3092\u5358\u7d14\u306b\u5b9a\u7fa9\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u3053\u308c\u3092\u884c\u3046\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 standard error of mean function<\/span>\nstd.error &lt;- <span style=\"color: #008000;\">function<\/span> (x) sd(x)\/sqrt( <span style=\"color: #800080;\">length<\/span> (x))\n\n<span style=\"color: #008080;\">#define dataset<\/span>\ndata &lt;- c(3, 4, 4, 5, 7, 8, 12, 14, 14, 15, 17, 19, 22, 24, 24, 24, 25, 28, 28, 29)\n\n<span style=\"color: #008080;\">#calculate standard error of the mean<\/span> \nstd.error(data)\n\n2.001447<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u3053\u3067\u3082\u3001\u5e73\u5747\u306e\u6a19\u6e96\u8aa4\u5dee\u306f<strong>2.0014<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<h2><strong>\u5e73\u5747\u5024\u306e\u6a19\u6e96\u8aa4\u5dee\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5<\/strong><\/h2>\n<p><span style=\"color: #000000;\">\u5e73\u5747\u5024\u306e\u6a19\u6e96\u8aa4\u5dee\u306f\u3001\u5358\u306b\u5e73\u5747\u5024\u306e\u5468\u56f2\u306e\u5024\u306e\u5e83\u304c\u308a\u306e\u5c3a\u5ea6\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5e73\u5747\u5024\u306e\u6a19\u6e96\u8aa4\u5dee\u3092\u89e3\u91c8\u3059\u308b\u969b\u306b\u306f\u3001\u6b21\u306e 2 \u3064\u306e\u70b9\u306b\u7559\u610f\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. \u5e73\u5747\u5024\u306e\u6a19\u6e96\u8aa4\u5dee\u304c\u5927\u304d\u3044\u307b\u3069\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5024\u306f\u5e73\u5747\u5024\u306e\u5468\u56f2\u306b\u3070\u3089\u3064\u304d\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3092\u8aac\u660e\u3059\u308b\u305f\u3081\u306b\u3001\u524d\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6700\u5f8c\u306e\u5024\u3092\u3055\u3089\u306b\u5927\u304d\u306a\u6570\u5024\u3067\u5909\u66f4\u3059\u308b\u5834\u5408\u3092\u8003\u3048\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define dataset<\/span>\ndata &lt;- c(3, 4, 4, 5, 7, 8, 12, 14, 14, 15, 17, 19, 22, 24, 24, 24, 25, 28, <span style=\"color: #000000;\">28, 150)<\/span>\n\n<span style=\"color: #008080;\">#calculate standard error of the mean<\/span> \nstd.error(data)\n\n<span style=\"color: #000000;\">6.978265<\/span>\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6a19\u6e96\u8aa4\u5dee\u304c<strong>2.001447<\/strong>\u304b\u3089<strong>6.978265<\/strong>\u306b\u5897\u52a0\u3059\u308b\u3053\u3068\u306b\u6ce8\u76ee\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5024\u304c\u524d\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u6bd4\u8f03\u3057\u3066\u5e73\u5747\u5024\u4ed8\u8fd1\u306b\u5206\u6563\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2. \u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u5897\u52a0\u3059\u308b\u306b\u3064\u308c\u3066\u3001\u5e73\u5747\u5024\u306e\u6a19\u6e96\u8aa4\u5dee\u306f\u6e1b\u5c11\u3059\u308b\u50be\u5411\u304c\u3042\u308a\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3092\u8aac\u660e\u3059\u308b\u305f\u3081\u306b\u3001\u6b21\u306e 2 \u3064\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5e73\u5747\u306e\u6a19\u6e96\u8aa4\u5dee\u3092\u8003\u3048\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define first dataset and find SEM<\/span>\ndata1 &lt;- c(1, 2, 3, 4, 5)\nstd.error(data1)\n\n0.7071068\n\n<span style=\"color: #008080;\">#define second dataset and find SEM<\/span>\ndata2 &lt;- c(1, 2, 3, 4, 5, 1, 2, 3, 4, 5)\nstd.error(data2)\n\n0.4714045\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">2 \u756a\u76ee\u306e\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u306f\u3001\u5358\u7d14\u306b 2 \u56de\u7e70\u308a\u8fd4\u3055\u308c\u305f\u6700\u521d\u306e\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3057\u305f\u304c\u3063\u3066\u3001\u4e21\u65b9\u306e\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u306e\u5e73\u5747\u5024\u306f\u540c\u3058\u3067\u3059\u304c\u30012 \u756a\u76ee\u306e\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u306e\u30b5\u30f3\u30d7\u30eb \u30b5\u30a4\u30ba\u304c\u5927\u304d\u3044\u305f\u3081\u3001\u6a19\u6e96\u8aa4\u5dee\u304c\u5c0f\u3055\u304f\u306a\u308a\u307e\u3059\u3002<\/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\u5206\u6563\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u6a19\u672c\u3068\u6bcd\u96c6\u56e3\u306e\u5206\u6563\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r-\u306e\u30af\u3099\u30eb\u30fc\u30d5\u309a\u5206\u6563\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u30d7\u30fc\u30eb\u3055\u308c\u305f\u5206\u6563\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><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5e73\u5747\u306e\u6a19\u6e96\u8aa4\u5dee\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5024\u306e\u5206\u5e03\u3092\u6e2c\u5b9a\u3059\u308b\u65b9\u6cd5\u3067\u3059\u3002\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002 \u6a19\u6e96\u8aa4\u5dee = s \/ \u221an \u91d1\uff1a s : \u30b5\u30f3\u30d7\u30eb\u6a19\u6e96\u504f\u5dee n : \u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba \u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6a19\u6e96 [&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-1059","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\u5e73\u5747\u306e\u6a19\u6e96\u8aa4\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/title>\n<meta name=\"description\" content=\"\u7279\u5b9a\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e R \u306e\u5e73\u5747\u306e\u6a19\u6e96\u8aa4\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u4f8b\u3092\u542b\u3081\u3066\u7c21\u5358\u306b\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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