{"id":493,"date":"2023-07-29T17:26:06","date_gmt":"2023-07-29T17:26:06","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e9%ad%9a%e3%81%ae%e5%9b%9e%e5%b8%b0\/"},"modified":"2023-07-29T17:26:06","modified_gmt":"2023-07-29T17:26:06","slug":"%e9%ad%9a%e3%81%ae%e5%9b%9e%e5%b8%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e9%ad%9a%e3%81%ae%e5%9b%9e%e5%b8%b0\/","title":{"rendered":"\u30ab\u30a6\u30f3\u30c8\u30c7\u30fc\u30bf\u306e\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u306b\u3064\u3044\u3066\u306e\u7a4f\u3084\u304b\u306a\u5165\u9580\u66f8"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u56de\u5e30\u306f<\/strong>\u30011 \u3064\u4ee5\u4e0a\u306e\u4e88\u6e2c\u5909\u6570\u3068<a href=\"https:\/\/statorials.org\/ja\/\u5909\u6570\u306e\u8aac\u660e\u5fdc\u7b54\/\" target=\"_blank\" rel=\"noopener\">\u5fdc\u7b54\u5909\u6570<\/a>\u306e\u9593\u306e\u95a2\u4fc2\u3092\u6c7a\u5b9a\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u7d71\u8a08\u624b\u6cd5\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u306f\u3001<\/strong>\u5fdc\u7b54\u5909\u6570\u304c\u300c\u30ab\u30a6\u30f3\u30c8 \u30c7\u30fc\u30bf\u300d\u3067\u3042\u308b\u7279\u5225\u306a\u30bf\u30a4\u30d7\u306e\u56de\u5e30\u3067\u3059\u3002\u6b21\u306e\u4f8b\u306f\u3001\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u304c\u4f7f\u7528\u3067\u304d\u308b\u30b1\u30fc\u30b9\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u4f8b 1:<\/strong>\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3092\u4f7f\u7528\u3057\u3066\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u5165\u5b66\u6642\u306e GPA \u3068\u6027\u5225\u306b\u57fa\u3065\u3044\u3066\u3001\u7279\u5b9a\u306e\u5927\u5b66\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5352\u696d\u3059\u308b\u5b66\u751f\u306e\u6570\u3092\u8abf\u3079\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u5834\u5408\u3001\u300c\u5352\u696d\u3059\u308b\u5b66\u751f\u306e\u6570\u300d\u306f\u5fdc\u7b54\u5909\u6570\u3001\u300c\u30d7\u30ed\u30b0\u30e9\u30e0\u5165\u5b66\u6642\u306e GPA\u300d\u306f\u9023\u7d9a\u4e88\u6e2c\u5909\u6570\u3001\u300c\u6027\u5225\u300d\u306f\u30ab\u30c6\u30b4\u30ea\u4e88\u6e2c\u5909\u6570\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u4f8b 2:<\/strong>\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u6c17\u8c61\u6761\u4ef6 (\u300c\u6674\u308c\u300d\u3001\u300c\u66c7\u308a\u300d\u3001\u300c\u96e8\u300d) \u3068\u3001\u5e02\u5185\u3067\u7279\u5225\u306a\u30a4\u30d9\u30f3\u30c8\u304c\u767a\u751f\u3057\u305f\u304b\u3069\u3046\u304b (\u300c\u306f\u3044\u300d) \u306b\u57fa\u3065\u3044\u3066\u3001\u7279\u5b9a\u306e\u4ea4\u5dee\u70b9\u3067\u306e\u4ea4\u901a\u4e8b\u6545\u306e\u6570\u3092\u8abf\u3079\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u307e\u305f\u306f\u3044\u3044\u3048\u300d\uff09\u3002\u3053\u306e\u5834\u5408\u3001\u300c\u4ea4\u901a\u4e8b\u6545\u306e\u4ef6\u6570\u300d\u306f\u5fdc\u7b54\u5909\u6570\u3067\u3059\u304c\u3001\u300c\u6c17\u8c61\u6761\u4ef6\u300d\u3068\u300c\u7279\u5225\u306a\u51fa\u6765\u4e8b\u300d\u306f\u3069\u3061\u3089\u3082\u30ab\u30c6\u30b4\u30ea\u30ab\u30eb\u4e88\u6e2c\u5909\u6570\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u4f8b 3:<\/strong>\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u6642\u9593\u5e2f\u3001\u66dc\u65e5\u3001\u30bb\u30fc\u30eb\u304c\u884c\u308f\u308c\u3066\u3044\u308b\u304b\u3069\u3046\u304b (\u300c\u306f\u3044\u300d\u307e\u305f\u306f\u300c\u3044\u3044\u3048\u300d) \u306b\u57fa\u3065\u3044\u3066\u3001\u5e97\u3067\u4e26\u3093\u3067\u3044\u308b\u4eba\u306e\u6570\u3092\u8abf\u3079\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 .\u300d\uff09\u3002\u3053\u306e\u5834\u5408\u3001\u300c\u524d\u306b\u4e26\u3093\u3067\u3044\u308b\u4eba\u306e\u6570\u300d\u304c\u5fdc\u7b54\u5909\u6570\u3001\u300c\u6642\u523b\u300d\u3068\u300c\u66dc\u65e5\u300d\u306f\u4e21\u65b9\u3068\u3082\u9023\u7d9a\u4e88\u6e2c\u5909\u6570\u3001\u300c\u9032\u884c\u4e2d\u306e\u30bb\u30fc\u30eb\u300d\u306f\u30ab\u30c6\u30b4\u30ea\u4e88\u6e2c\u5909\u6570\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u4f8b 4:<\/strong>\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3092\u4f7f\u7528\u3057\u3066\u3001\u6c17\u8c61\u6761\u4ef6 (\u300c\u6674\u308c\u300d\u3001\u300c\u66c7\u308a\u300d\u3001\u300c\u96e8\u300d) \u3068\u30b3\u30fc\u30b9\u306e\u96e3\u6613\u5ea6 (\u300c\u7c21\u5358\u300d\u3001\u300c\u96e8\u300d) \u306b\u57fa\u3065\u3044\u3066\u30c8\u30e9\u30a4\u30a2\u30b9\u30ed\u30f3\u3092\u5b8c\u8d70\u3057\u305f\u4eba\u306e\u6570\u3092\u8abf\u3079\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 \u300c\u4e2d\u7a0b\u5ea6\u300d\u3001\u300c\u96e3\u3057\u3044\u300d\uff09\u3002\u3053\u306e\u5834\u5408\u3001\u300c\u5b8c\u8d70\u8005\u6570\u300d\u304c\u5fdc\u7b54\u5909\u6570\u3067\u3042\u308b\u306e\u306b\u5bfe\u3057\u3001\u300c\u6c17\u8c61\u6761\u4ef6\u300d\u3068\u300c\u30b3\u30fc\u30b9\u306e\u96e3\u6613\u5ea6\u300d\u306f\u3069\u3061\u3089\u3082\u30ab\u30c6\u30b4\u30ea\u30ab\u30eb\u4e88\u6e2c\u5909\u6570\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3092\u5b9f\u884c\u3059\u308b\u3068\u3001\u3069\u306e\u4e88\u6e2c\u5b50\u5909\u6570 (\u5b58\u5728\u3059\u308b\u5834\u5408) \u304c\u5fdc\u7b54\u5909\u6570\u306b\u7d71\u8a08\u7684\u306b\u6709\u610f\u306a\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u304b\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u9023\u7d9a\u4e88\u6e2c\u5909\u6570\u306e\u5834\u5408\u3001\u305d\u306e\u5909\u6570\u306e 1 \u5358\u4f4d\u306e\u5897\u52a0\u307e\u305f\u306f\u6e1b\u5c11\u304c\u5fdc\u7b54\u5909\u6570\u306e\u6570\u5024\u306e\u5909\u5316\u7387\u3068\u3069\u306e\u3088\u3046\u306b\u95a2\u9023\u4ed8\u3051\u3089\u308c\u3066\u3044\u308b\u304b\u3092\u89e3\u91c8\u3067\u304d\u307e\u3059 (\u305f\u3068\u3048\u3070\u3001\u300cGPA \u306e 1 \u5358\u4f4d\u306e\u5897\u52a0\u3054\u3068\u306b\u8ffd\u52a0\u30dd\u30a4\u30f3\u30c8\u304c\u95a2\u9023\u4ed8\u3051\u3089\u308c\u3066\u3044\u308b)\u300d\u5fdc\u7b54\u5909\u6570\u306e 12.5% \u5897\u52a0)\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u30ab\u30c6\u30b4\u30ea\u4e88\u6e2c\u5909\u6570\u306e\u5834\u5408\u3001\u3042\u308b\u30b0\u30eb\u30fc\u30d7\u306e\u6570 (\u305f\u3068\u3048\u3070\u3001\u6674\u308c\u305f\u65e5\u306b\u30c8\u30e9\u30a4\u30a2\u30b9\u30ed\u30f3\u3092\u5b8c\u8d70\u3057\u305f\u4eba\u306e\u6570) \u3092\u3001\u5225\u306e\u30b0\u30eb\u30fc\u30d7 (\u305f\u3068\u3048\u3070\u3001\u30c8\u30e9\u30a4\u30a2\u30b9\u30ed\u30f3\u3092\u5b8c\u8d70\u3057\u305f\u4eba\u306e\u6570) \u3068\u6bd4\u8f03\u3057\u305f\u3068\u304d\u306e\u5909\u5316\u7387\u3092\u89e3\u91c8\u3067\u304d\u307e\u3059\u3002\u96e8\u5929\u6642\u306e\u30c8\u30e9\u30a4\u30a2\u30b9\u30ed\u30f3\uff09\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u306e\u4eee\u5b9a<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3092\u5b9f\u884c\u3059\u308b\u524d\u306b\u3001\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u306e\u7d50\u679c\u304c\u6709\u52b9\u3067\u3042\u308b\u3088\u3046\u306b\u3001\u6b21\u306e\u524d\u63d0\u304c\u6e80\u305f\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u4eee\u5b9a 1:<\/strong><strong>\u5fdc\u7b54\u5909\u6570\u306f\u30ab\u30a6\u30f3\u30c8 \u30c7\u30fc\u30bf\u3067\u3059\u3002<\/strong>\u5f93\u6765\u306e\u7dda\u5f62\u56de\u5e30\u3067\u306f\u3001\u5fdc\u7b54\u5909\u6570\u306f\u9023\u7d9a\u30c7\u30fc\u30bf\u3067\u3059\u3002\u305f\u3060\u3057\u3001\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3092\u4f7f\u7528\u3059\u308b\u306b\u306f\u3001\u5fdc\u7b54\u5909\u6570\u304c 0 \u4ee5\u4e0a\u306e\u6574\u6570 (0\u30011\u30012\u300114\u300134\u300149\u3001200 \u306a\u3069) \u3092\u542b\u3080\u30ab\u30a6\u30f3\u30c8 \u30c7\u30fc\u30bf\u3067\u69cb\u6210\u3055\u308c\u3066\u3044\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u5fdc\u7b54\u5909\u6570\u306b\u8ca0\u306e\u5024\u3092\u542b\u3081\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u305b\u3093\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u4eee\u8aac 2: \u89b3\u6e2c\u5024\u306f\u72ec\u7acb\u3057\u3066\u3044\u307e\u3059\u3002<\/strong>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5404<a href=\"https:\/\/statorials.org\/ja\/\u7d71\u8a08\u306b\u304a\u3051\u308b\u89b3\u5bdf\/\" target=\"_blank\" rel=\"noopener\">\u89b3\u6e2c\u5024\u306f<\/a>\u4e92\u3044\u306b\u72ec\u7acb\u3057\u3066\u3044\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u3042\u308b\u89b3\u6e2c\u5024\u304c\u5225\u306e\u89b3\u6e2c\u5024\u306b\u95a2\u3059\u308b\u60c5\u5831\u3092\u63d0\u4f9b\u3067\u304d\u306a\u3044\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u4eee\u8aac 3: \u30a2\u30ab\u30a6\u30f3\u30c8\u306e\u5206\u5e03\u306f\u30dd\u30a2\u30bd\u30f3\u5206\u5e03\u306b\u5f93\u3044\u307e\u3059\u3002<\/strong>\u7d50\u679c\u3068\u3057\u3066\u3001\u89b3\u6e2c\u3055\u308c\u305f\u6570\u3068\u671f\u5f85\u3055\u308c\u308b\u6570\u306f\u540c\u69d8\u306b\u306a\u308b\u306f\u305a\u3067\u3059\u3002\u3053\u308c\u3092\u30c6\u30b9\u30c8\u3059\u308b\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001\u4e88\u60f3\u3055\u308c\u308b\u6570\u3068\u89b3\u6e2c\u3055\u308c\u305f\u6570\u3092\u30d7\u30ed\u30c3\u30c8\u3057\u3001\u305d\u308c\u3089\u304c\u985e\u4f3c\u3057\u3066\u3044\u308b\u304b\u3069\u3046\u304b\u3092\u78ba\u8a8d\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u4eee\u5b9a 4: \u30e2\u30c7\u30eb\u306e\u5e73\u5747\u3068\u5206\u6563\u306f\u7b49\u3057\u3044\u3002<\/strong>\u3053\u308c\u306f\u3001\u30ab\u30a6\u30f3\u30c8\u306e\u5206\u5e03\u304c\u30dd\u30a2\u30bd\u30f3\u5206\u5e03\u306b\u5f93\u3046\u3068\u3044\u3046\u4eee\u5b9a\u304b\u3089\u751f\u3058\u307e\u3059\u3002\u30dd\u30a2\u30bd\u30f3\u5206\u5e03\u306e\u5834\u5408\u3001\u5206\u6563\u306f\u5e73\u5747\u3068\u540c\u3058\u5024\u306b\u306a\u308a\u307e\u3059\u3002\u3053\u306e\u4eee\u5b9a\u304c\u6e80\u305f\u3055\u308c\u308c\u3070\u3001\u7b49<strong>\u5206\u6563<\/strong>\u306b\u306a\u308a\u307e\u3059\u3002\u305f\u3060\u3057\u3001\u904e\u5206\u6563\u306f\u4e00\u822c\u7684\u306a\u554f\u984c\u3067\u3042\u308b\u305f\u3081\u3001\u3053\u306e\u4eee\u5b9a\u306f\u3057\u3070\u3057\u3070\u7834\u3089\u308c\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b: R \u3067\u306e\u30dd\u30a2\u30bd\u30f3\u56de\u5e30<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001R \u3067\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306e\u4f8b\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u80cc\u666f<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u7279\u5b9a\u306e\u90e1\u306e\u9ad8\u6821\u91ce\u7403\u9078\u624b\u304c\u5b66\u6821\u533a\u5206 (\u300cA\u300d\u3001\u300cB\u300d\u3001\u307e\u305f\u306f\u300cC\u300d) \u3068\u5b66\u5e74\u306b\u57fa\u3065\u3044\u3066\u53d7\u3051\u53d6\u3063\u305f\u5968\u5b66\u91d1\u306e\u6570\u3092\u77e5\u308a\u305f\u3044\u3068\u3057\u307e\u3059\u3002\u5927\u5b66\u5165\u5b66\u8a66\u9a13\uff080\u304b\u3089100\u3067\u8a55\u4fa1\uff09\u3002 \uff09\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u4f7f\u7528\u3059\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u306f\u3001100 \u4eba\u306e\u91ce\u7403\u9078\u624b\u306b\u95a2\u3059\u308b\u30c7\u30fc\u30bf\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set.seed(1)\n\n<span style=\"color: #008080;\">#create dataset\n<\/span>data &lt;- data.frame(offers = c(rep(0, 50), rep(1, 30), rep(2, 10), rep(3, 7), rep(4, 3)),\n                   division = sample(c(\"A\", \"B\", \"C\"), 100, replace = TRUE),\n                   exam = c(runif(50, 60, 80), runif(30, 65, 95), runif(20, 75, 95)))<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u30c7\u30fc\u30bf\u3092\u7406\u89e3\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5b9f\u969b\u306b\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5f53\u3066\u306f\u3081\u308b\u524d\u306b\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6700\u521d\u306e\u6570\u884c\u3092\u8996\u899a\u5316\u3057\u3001 <strong><a href=\"https:\/\/dplyr.tidyverse.org\/\" target=\"_blank\" rel=\"noopener\">dplyr<\/a><\/strong>\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u8981\u7d04\u7d71\u8a08\u3092\u5b9f\u884c\u3059\u308b\u3053\u3068\u3067\u3001\u30c7\u30fc\u30bf\u3092\u3088\u308a\u6df1\u304f\u7406\u89e3\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view dimensions of dataset<\/span>\ndim(data)\n\n#[1] 100 3\n\n<span style=\"color: #008080;\">#view first six lines of dataset<\/span>\nhead(data)\n\n# offers division exam\n#1 0 A 73.09448\n#2 0 B 67.06395\n#3 0 B 65.40520\n#4 0 C 79.85368\n#5 0 A 72.66987\n#6 0 C 64.26416\n\n<span style=\"color: #008080;\">#view summary of each variable in dataset<\/span>\nsummary(data)\n\n# offers division exam      \n# Min. :0.00 To:27 Min. :60.26  \n# 1st Qu.:0.00 B:38 1st Qu.:69.86  \n# Median: 0.50 C:35 Median: 75.08  \n# Mean:0.83 Mean:76.43  \n# 3rd Qu.:1.00 3rd Qu.:82.87  \n# Max. :4.00 Max. :93.87  \n\n<span style=\"color: #008080;\">#view mean exam score by number of offers<\/span>\nlibrary(dplyr)\ndata %&gt;%\n  <span style=\"color: #800080;\">group_by<\/span> (offers) %&gt;%\n  <span style=\"color: #800080;\">summarize<\/span> (mean_exam = mean(exam))\n\n# A tibble: 5 x 2\n# offers mean_exam\n#        \n#1 0 70.0\n#2 1 80.8\n#3 2 86.8\n#4 3 83.9\n#5 4 87.9<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4e0a\u8a18\u306e\u7d50\u679c\u304b\u3089\u3001\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u306f 100 \u884c\u3068 3 \u5217\u304c\u3042\u308a\u307e\u3059<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30d7\u30ec\u30fc\u30e4\u30fc\u304c\u53d7\u3051\u53d6\u3063\u305f\u30aa\u30d5\u30a1\u30fc\u306e\u6700\u5c0f\u6570\u306f 0\u3001\u6700\u5927\u306f 4\u3001\u5e73\u5747\u306f 0.83 \u3067\u3057\u305f\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u306f\u3001\u300cA\u300d\u90e8\u9580\u306e 27 \u4eba\u306e\u30d7\u30ec\u30fc\u30e4\u30fc\u3001\u300cB\u300d\u90e8\u9580\u306e 38 \u4eba\u306e\u30d7\u30ec\u30a4\u30e4\u30fc\u3001\u300cC\u300d\u90e8\u9580\u306e 35 \u4eba\u306e\u30d7\u30ec\u30a4\u30e4\u30fc\u304c\u3044\u307e\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u8a66\u9a13\u306e\u6700\u4f4e\u70b9\u306f 60.26 \u70b9\u3001\u6700\u9ad8\u70b9\u306f 93.87 \u70b9\u3001\u5e73\u5747\u306f 76.43 \u70b9\u3067\u3057\u305f\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u4e00\u822c\u306b\u3001\u3088\u308a\u591a\u304f\u306e\u5968\u5b66\u91d1\u30aa\u30d5\u30a1\u30fc\u3092\u53d7\u3051\u305f\u30d7\u30ec\u30fc\u30e4\u30fc\u306f\u3001\u8a66\u9a13\u306e\u30b9\u30b3\u30a2\u304c\u9ad8\u304f\u306a\u308b\u50be\u5411\u304c\u3042\u308a\u307e\u3059 (\u305f\u3068\u3048\u3070\u3001\u30aa\u30d5\u30a1\u30fc\u3092\u53d7\u3051\u53d6\u3089\u306a\u304b\u3063\u305f\u30d7\u30ec\u30fc\u30e4\u30fc\u306e\u8a66\u9a13\u30b9\u30b3\u30a2\u306e\u5e73\u5747\u306f 70.0 \u3067\u3001\u30aa\u30d5\u30a1\u30fc\u3092 4 \u4ef6\u53d7\u3051\u53d6\u3063\u305f\u30d7\u30ec\u30fc\u30e4\u30fc\u306e\u30ec\u30d3\u30e5\u30fc\u306e\u5e73\u5747\u30b9\u30b3\u30a2\u306f 87.9 \u3067\u3057\u305f)\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3057\u3066\u3001\u90e8\u9580\u306b\u57fa\u3065\u3044\u3066\u30d7\u30ec\u30fc\u30e4\u30fc\u304c\u53d7\u3051\u53d6\u3063\u305f\u30aa\u30d5\u30a1\u30fc\u306e\u6570\u3092\u8996\u899a\u5316\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load <em>ggplot2<\/em> package<\/span>\nlibrary(ggplot2)\n\n<span style=\"color: #008080;\">#create histogram\n<\/span>ggplot(data, aes(offers, fill = division)) +\n  geom_histogram(binwidth=.5, position=\"dodge\")<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u307b\u3068\u3093\u3069\u306e\u30d7\u30ec\u30a4\u30e4\u30fc\u304c\u30aa\u30d5\u30a1\u30fc\u3092\u307e\u3063\u305f\u304f\u53d7\u3051\u53d6\u3063\u3066\u3044\u306a\u3044\u304b\u3001\u30aa\u30d5\u30a1\u30fc\u3092 1 \u3064\u3060\u3051\u53d7\u3051\u53d6\u3063\u3066\u3044\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002\u3053\u308c\u306f<a href=\"https:\/\/statorials.org\/ja\/\u9b5a\u306e\u5206\u5e03\/\" target=\"_blank\" rel=\"noopener\">\u30dd\u30a2\u30bd\u30f3\u5206\u5e03<\/a>\u306b\u5f93\u3046\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5178\u578b\u7684\u306a\u3082\u306e\u3067\u3042\u308a\u3001\u5fdc\u7b54\u5024\u306e\u304b\u306a\u308a\u306e\u90e8\u5206\u304c\u30bc\u30ed\u3067\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001 <strong>glm()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3001\u30e2\u30c7\u30eb\u306b<strong>family=&#8221;fish&#8221;<\/strong>\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3092\u6307\u5b9a\u3057\u3066\u30e2\u30c7\u30eb\u3092\u8abf\u6574\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit the model\n<\/span>model &lt;- glm(offers ~ division + exam, <span style=\"color: #800080;\">family = \"fish\"<\/span> , data = data)\n\n<span style=\"color: #000000;\">#view model output\n<\/span>summary(model)\n\n#Call:\n#glm(formula = offers ~ division + exam, family = \"fish\", data = data)\n#\n#Deviance Residuals: \n# Min 1Q Median 3Q Max  \n#-1.2562 -0.8467 -0.5657 0.3846 2.5033  \n#\n#Coefficients:\n#Estimate Std. Error z value Pr(&gt;|z|)    \n#(Intercept) -7.90602 1.13597 -6.960 3.41e-12 ***\n#divisionB 0.17566 0.27257 0.644 0.519    \n#divisionC -0.05251 0.27819 -0.189 0.850    \n#exam 0.09548 0.01322 7.221 5.15e-13 ***\n#---\n#Significant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n#\n#(Dispersion parameter for fish family taken to be 1)\n#\n# Null deviance: 138,069 on 99 degrees of freedom\n#Residual deviance: 79,247 on 96 degrees of freedom\n#AIC: 204.12\n#\n#Number of Fisher Scoring iterations: 5\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u4fc2\u6570\u3001\u63a8\u5b9a\u5024\u306e\u6a19\u6e96\u8aa4\u5dee\u3001Z \u30b9\u30b3\u30a2\u3001\u304a\u3088\u3073\u5bfe\u5fdc\u3059\u308b p \u5024\u304c\u3059\u3079\u3066\u63d0\u4f9b\u3055\u308c\u307e\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><em>\u30ec\u30d3\u30e5\u30fc<\/em>\u4fc2\u6570\u306f<strong>0.09548<\/strong>\u3067\u3059\u3002\u3053\u308c\u306f\u3001<em>\u30ec\u30d3\u30e5\u30fc<\/em>\u3067 1 \u30e6\u30cb\u30c3\u30c8\u5897\u52a0\u3059\u308b\u5834\u5408\u306e\u30aa\u30d5\u30a1\u30fc\u6570\u306e\u4e88\u60f3\u30ed\u30b0\u6570\u304c<strong>0.09548<\/strong>\u3067\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002\u3053\u308c\u3092\u89e3\u91c8\u3059\u308b\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001\u3079\u304d\u4e57\u3055\u308c\u305f\u5024\u3001\u3064\u307e\u308a<strong>e <sup>0.09548<\/sup><\/strong> = <strong>1.10<\/strong>\u3092\u53d6\u5f97\u3059\u308b\u3053\u3068\u3067\u3059\u3002\u3053\u308c\u306f\u3001\u5165\u5b66\u8a66\u9a13\u3067\u7372\u5f97\u3057\u305f\u8ffd\u52a0\u30dd\u30a4\u30f3\u30c8\u3054\u3068\u306b\u3001\u53d7\u3051\u53d6\u308b\u30aa\u30d5\u30a1\u30fc\u306e\u6570\u304c 10% \u5897\u52a0\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><em>\u30c7\u30a3\u30d3\u30b8\u30e7\u30f3 B<\/em>\u306e\u4fc2\u6570\u306f<strong>0.1756<\/strong>\u3067\u3001\u3053\u308c\u306f\u30c7\u30a3\u30d3\u30b8\u30e7\u30f3 B \u306e\u30d7\u30ec\u30fc\u30e4\u30fc\u306e\u4e88\u60f3\u30aa\u30d5\u30a1\u30fc\u6570\u304c\u30c7\u30a3\u30d3\u30b8\u30e7\u30f3 A \u306e\u30d7\u30ec\u30fc\u30e4\u30fc\u3088\u308a<strong>0.1756<\/strong>\u9ad8\u3044\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u3092\u89e3\u91c8\u3059\u308b\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001\u3079\u304d\u4e57\u3055\u308c\u305f\u5024\u3001\u3064\u307e\u308a<strong>e <sup>0.1756<\/sup><\/strong> = \u3092\u53d6\u308b\u3053\u3068\u3067\u3059\u3002 <strong>1.19<\/strong> \u3002\u3053\u308c\u306f\u3001\u30c7\u30a3\u30d3\u30b8\u30e7\u30f3 B \u306e\u30d7\u30ec\u30fc\u30e4\u30fc\u304c\u30c7\u30a3\u30d3\u30b8\u30e7\u30f3 A \u306e\u30d7\u30ec\u30fc\u30e4\u30fc\u3088\u308a\u3082 19% \u591a\u304f\u306e\u30aa\u30d5\u30a1\u30fc\u3092\u53d7\u3051\u53d6\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002\u3053\u306e\u5dee\u306f\u7d71\u8a08\u7684\u306b\u6709\u610f\u3067\u306f\u306a\u3044\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044 (p = 0.519)\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><em>Division C<\/em>\u306e\u4fc2\u6570\u306f<strong>-0.05251<\/strong>\u3067\u3001\u3053\u308c\u306f\u3001Division C \u306e\u30d7\u30ec\u30fc\u30e4\u30fc\u306e\u30aa\u30d5\u30a1\u30fc\u6570\u306e\u4e88\u60f3\u30ed\u30b0\u6570\u304c\u3001Division A \u306e\u30d7\u30ec\u30fc\u30e4\u30fc\u3088\u308a\u3082<strong>0.05251<\/strong><i>\u4f4e\u3044<\/i>\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002\u3053\u308c\u3092\u89e3\u91c8\u3059\u308b\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001\u3079\u304d\u4e57\u3055\u308c\u305f\u5024\u3092\u53d6\u5f97\u3059\u308b\u3053\u3068\u3067\u3059\u3002\u3064\u307e\u308a\u3001 <strong>e <sup>0.05251<\/sup><\/strong> = <strong>0.94<\/strong>\u3067\u3059\u3002\u3053\u308c\u306f\u3001\u30c7\u30a3\u30d3\u30b8\u30e7\u30f3 C \u306e\u30d7\u30ec\u30fc\u30e4\u30fc\u304c\u53d7\u3051\u53d6\u308b\u30aa\u30d5\u30a1\u30fc\u304c\u30c7\u30a3\u30d3\u30b8\u30e7\u30f3 A \u306e\u30d7\u30ec\u30fc\u30e4\u30fc\u3088\u308a 6% \u5c11\u306a\u3044\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002\u3053\u306e\u5dee\u306f\u7d71\u8a08\u7684\u306b\u6709\u610f\u3067\u306f\u306a\u3044\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044 (p = 850)\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u30e2\u30c7\u30eb\u306e\u9038\u8131\u306b\u95a2\u3059\u308b\u60c5\u5831\u3082\u63d0\u4f9b\u3055\u308c\u307e\u3059\u3002\u7279\u306b\u3001 <strong>96<\/strong>\u81ea\u7531\u5ea6\u306e\u3046\u3061<strong>79,247<\/strong>\u306e\u5024\u3092\u6301\u3064<em>\u6b8b\u7559\u9038\u8131\u5ea6<\/em>\u306b\u6ce8\u76ee\u3057\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u6570\u5024\u3092\u4f7f\u7528\u3057\u3066\u3001\u30ab\u30a4\u4e8c\u4e57\u9069\u5408\u5ea6\u691c\u5b9a\u3092\u5b9f\u884c\u3057\u3066\u3001\u30e2\u30c7\u30eb\u304c\u30c7\u30fc\u30bf\u306b\u9069\u5408\u3059\u308b\u304b\u3069\u3046\u304b\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u3053\u306e\u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>pchisq(79.24679, 96, lower.tail = FALSE)\n\n#[1] 0.8922676\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u306e\u691c\u5b9a\u306e p \u5024\u306f<strong>0.89<\/strong>\u3067\u3001\u6709\u610f\u6c34\u6e96 0.05 \u3092\u5927\u304d\u304f\u4e0a\u56de\u3063\u3066\u3044\u307e\u3059\u3002\u30c7\u30fc\u30bf\u304c\u30e2\u30c7\u30eb\u306b\u304b\u306a\u308a\u3088\u304f\u9069\u5408\u3057\u3066\u3044\u308b\u3068\u7d50\u8ad6\u4ed8\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u7d50\u679c\u3092\u898b\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u90e8\u9580\u3068\u5165\u5b66\u8a66\u9a13\u306e\u7d50\u679c\u306b\u57fa\u3065\u3044\u3066\u53d7\u3051\u53d6\u3089\u308c\u308b\u5968\u5b66\u91d1\u306e\u30aa\u30d5\u30a1\u30fc\u306e\u4e88\u60f3\u6570\u3092\u793a\u3059\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find predicted number of offers using the fitted Poisson regression model\n<\/span>data$phat &lt;- predict(model, type=\"response\")\n\n<span style=\"color: #008080;\">#create plot that shows number of offers based on division and exam score\n<\/span>ggplot(data, aes(x = exam, y = phat, color = division)) +\n  geom_point(aes(y = offers), alpha = .7, position = position_jitter(h = .2)) +\n  geom_line() +\n  labs(x = \"Entrance Exam Score\", y = \"Expected number of scholarship offers\")<\/strong><\/pre>\n<h3><\/h3>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30b0\u30e9\u30d5\u306f\u3001\u5165\u5b66\u8a66\u9a13\u3067\u9ad8\u5f97\u70b9\u3092\u7372\u5f97\u3057\u305f\u9078\u624b\u306b\u5bfe\u3057\u3066\u4e88\u60f3\u3055\u308c\u308b\u5968\u5b66\u91d1\u30aa\u30d5\u30a1\u30fc\u306e\u6700\u5927\u6570\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u3055\u3089\u306b\u3001\u30c7\u30a3\u30d3\u30b8\u30e7\u30f3 B (\u7dd1\u306e\u7dda) \u306e\u30d7\u30ec\u30fc\u30e4\u30fc\u306f\u3001\u4e00\u822c\u7684\u306b\u30c7\u30a3\u30d3\u30b8\u30e7\u30f3 A \u307e\u305f\u306f\u30c7\u30a3\u30d3\u30b8\u30e7\u30f3 C \u306e\u30d7\u30ec\u30fc\u30e4\u30fc\u3088\u308a\u3082\u591a\u304f\u306e\u30aa\u30d5\u30a1\u30fc\u3092\u53d7\u3051\u53d6\u308b\u306f\u305a\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u7d50\u679c\u5831\u544a<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6700\u5f8c\u306b\u3001\u8abf\u67fb\u7d50\u679c\u3092\u8981\u7d04\u3057\u305f\u65b9\u6cd5\u3067\u56de\u5e30\u7d50\u679c\u3092\u5831\u544a\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<blockquote>\n<p><span style=\"color: #000000;\">\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3092\u5b9f\u884c\u3057\u3066\u3001\u91ce\u7403\u9078\u624b\u304c\u53d7\u3051\u53d6\u308b\u5968\u5b66\u91d1\u30aa\u30d5\u30a1\u30fc\u306e\u6570\u3092\u90e8\u9580\u5225\u304a\u3088\u3073\u5165\u5b66\u8a66\u9a13\u306e\u30b9\u30b3\u30a2\u306b\u57fa\u3065\u3044\u3066\u4e88\u6e2c\u3057\u307e\u3057\u305f\u3002\u5165\u5b66\u8a66\u9a13\u3067\u7372\u5f97\u3057\u305f\u8ffd\u52a0\u30dd\u30a4\u30f3\u30c8\u3054\u3068\u306b\u3001\u53d7\u3051\u53d6\u3063\u305f\u30aa\u30d5\u30a1\u30fc\u306e\u6570\u306f 10% \u5897\u52a0\u3057\u307e\u3059 ( <em>p &lt; 0.0001)<\/em> \u3002\u3053\u306e\u90e8\u9580\u306f\u7d71\u8a08\u7684\u306b\u6709\u610f\u3067\u3042\u308b\u3068\u306f\u308f\u304b\u308a\u307e\u305b\u3093\u3067\u3057\u305f\u3002<\/span><\/p>\n<\/blockquote>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/ja\/\u7dda\u5f62\u56de\u5e30-1\/\" target=\"_blank\" rel=\"noopener\">\u5358\u7dda\u5f62\u56de\u5e30\u306e\u6982\u8981<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u91cd\u7dda\u5f62\u56de\u5e30\/\" target=\"_blank\" rel=\"noopener\">\u91cd\u7dda\u5f62\u56de\u5e30\u306e\u6982\u8981<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u591a\u9805\u5f0f\u56de\u5e30-1\/\" target=\"_blank\" rel=\"noopener\">\u591a\u9805\u5f0f\u56de\u5e30\u306e\u6982\u8981<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u56de\u5e30\u306f\u30011 \u3064\u4ee5\u4e0a\u306e\u4e88\u6e2c\u5909\u6570\u3068\u5fdc\u7b54\u5909\u6570\u306e\u9593\u306e\u95a2\u4fc2\u3092\u6c7a\u5b9a\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u7d71\u8a08\u624b\u6cd5\u3067\u3059\u3002 \u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u306f\u3001\u5fdc\u7b54\u5909\u6570\u304c\u300c\u30ab\u30a6\u30f3\u30c8 \u30c7\u30fc\u30bf\u300d\u3067\u3042\u308b\u7279\u5225\u306a\u30bf\u30a4\u30d7\u306e\u56de\u5e30\u3067\u3059\u3002\u6b21\u306e\u4f8b\u306f\u3001\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u304c\u4f7f\u7528\u3067\u304d\u308b\u30b1\u30fc\u30b9\u3092\u793a\u3057\u3066\u3044\u307e\u3059 [&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-493","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>\u30ab\u30a6\u30f3\u30c8\u30c7\u30fc\u30bf\u306e\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3078\u306e\u512a\u3057\u3044\u5165\u9580 - Statology<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u306e\u6bb5\u968e\u7684\u306a\u4f8b\u3092\u542b\u3081\u3001\u30ab\u30a6\u30f3\u30c8 \u30c7\u30fc\u30bf\u306e\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3092\u512a\u3057\u304f\u7d39\u4ecb\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\" href=\"https:\/\/statorials.org\/ja\/\u9b5a\u306e\u56de\u5e30\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u30ab\u30a6\u30f3\u30c8\u30c7\u30fc\u30bf\u306e\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3078\u306e\u512a\u3057\u3044\u5165\u9580 - Statology\" \/>\n<meta property=\"og:description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u306e\u6bb5\u968e\u7684\u306a\u4f8b\u3092\u542b\u3081\u3001\u30ab\u30a6\u30f3\u30c8 \u30c7\u30fc\u30bf\u306e\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3092\u512a\u3057\u304f\u7d39\u4ecb\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ja\/\u9b5a\u306e\u56de\u5e30\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-29T17:26:06+00:00\" \/>\n<meta name=\"author\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"2\u5206\" \/>\n<script type=\"application\/ld+json\" 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