{"id":825,"date":"2023-07-28T15:16:06","date_gmt":"2023-07-28T15:16:06","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e5%81%8f%e7%9b%b8%e9%96%a2python\/"},"modified":"2023-07-28T15:16:06","modified_gmt":"2023-07-28T15:16:06","slug":"%e5%81%8f%e7%9b%b8%e9%96%a2python","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e5%81%8f%e7%9b%b8%e9%96%a2python\/","title":{"rendered":"Python\u3067\u504f\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u7d71\u8a08\u5b66\u3067\u306f\u3001<\/span> <a href=\"https:\/\/statorials.org\/ja\/\u30d2\u309a\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570-1\/\" target=\"_blank\" rel=\"noopener\">\u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570<\/a>\u3092\u4f7f\u7528\u3057\u3066<span style=\"color: #000000;\">2 \u3064\u306e\u5909\u6570\u9593\u306e\u7dda\u5f62\u95a2\u4fc2\u3092\u6e2c\u5b9a\u3059\u308b\u3053\u3068\u304c\u3088\u304f\u3042\u308a\u307e\u3059\u3002\u305f\u3060\u3057\u3001\u5834\u5408\u306b\u3088\u3063\u3066\u306f\u3001 <strong>3 \u756a\u76ee\u306e\u5909\u6570\u3092\u5236\u5fa1\u3057\u306a\u304c\u3089<\/strong>2 \u3064\u306e\u5909\u6570\u9593\u306e\u95a2\u4fc2\u3092\u7406\u89e3\u3057\u305f\u3044\u5834\u5408\u3082\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001\u30af\u30e9\u30b9\u5185\u3067\u306e\u751f\u5f92\u306e\u73fe\u5728\u306e\u6210\u7e3e\u3092\u7ba1\u7406\u3057\u306a\u304c\u3089\u3001\u751f\u5f92\u306e\u5b66\u7fd2\u6642\u9593\u6570\u3068\u6700\u7d42\u8a66\u9a13\u306e\u6210\u7e3e\u3068\u306e\u95a2\u9023\u6027\u3092\u6e2c\u5b9a\u3057\u305f\u3044\u3068\u3057\u307e\u3059\u3002\u3053\u306e\u5834\u5408\u3001<strong>\u504f\u76f8\u95a2\u3092<\/strong>\u4f7f\u7528\u3057\u3066\u3001\u5b66\u7fd2\u6642\u9593\u3068\u6700\u7d42\u8a66\u9a13\u306e\u6210\u7e3e\u3068\u306e\u95a2\u4fc2\u3092\u6e2c\u5b9a\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u504f\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b: Python \u306e\u504f\u76f8\u95a2<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">10 \u4eba\u306e\u751f\u5f92\u306e\u73fe\u5728\u306e\u6210\u7e3e\u3001\u5408\u8a08\u5b66\u7fd2\u6642\u9593\u3001\u6700\u7d42\u8a66\u9a13\u306e\u6210\u7e3e\u3092\u8868\u793a\u3059\u308b\u6b21\u306e Pandas DataFrame \u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> panda <span style=\"color: #107d3f;\">as<\/span> pd\n\ndata = {'currentGrade': [82, 88, 75, 74, 93, 97, 83, 90, 90, 80],\n        'hours': [4, 3, 6, 5, 4, 5, 8, 7, 4, 6],\n        'examScore': [88, 85, 76, 70, 92, 94, 89, 85, 90, 93],\n        }\n\ndf = pd.DataFrame(data, columns = ['currentGrade','hours', 'examScore'])\ndf\n\n   currentGrade hours examScore\n0 82 4 88\n1 88 3 85\n2 75 6 76\n3 74 5 70\n4 93 4 92\n5 97 5 94\n6 83 8 89\n7 90 7 85\n8 90 4 90\n9 80 6 93\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>currentGrade<\/strong>\u3092\u5236\u5fa1\u3057\u306a\u304c\u3089<strong>\u6642\u9593<\/strong>\u3068<strong>ExamScore<\/strong>\u306e\u9593\u306e\u504f\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u306b\u306f\u3001<a href=\"https:\/\/pingouin-stats.org\/index.html\" target=\"_blank\" rel=\"noopener\">\u30da\u30f3\u30ae\u30f3 \u30d1\u30c3\u30b1\u30fc\u30b8<\/a>\u306e<strong>Partial_corr()<\/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 style=\"text-align: center;\"> <strong><span style=\"color: #000000;\">Partial_corr(\u30c7\u30fc\u30bf\u3001x\u3001y\u3001covar)<\/span><\/strong><\/p>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>data:<\/strong>\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u540d\u524d<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>x\u3001y:<\/strong>\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u5185\u306e\u5217\u540d<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>covar:<\/strong>\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u5185\u306e\u5171\u5909\u91cf\u5217\u306e\u540d\u524d (\u5236\u5fa1\u3057\u3066\u3044\u308b\u5909\u6570\u306a\u3069)<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u3053\u306e\u7279\u5b9a\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;\">#install and import penguin package<\/span> \npip <span style=\"color: #107d3f;\">install<\/span> penguin\n<span style=\"color: #107d3f;\">import<\/span> penguin <span style=\"color: #107d3f;\">as<\/span> pg\n\n<span style=\"color: #008080;\">#find partial correlation between hours and exam score while controlling for grade<\/span>\npg.partial_corr(data=df, x='hours', y='examScore', covar='currentGrade')\n\n\n         n r CI95% r2 adj_r2 p-val BF10 power\npearson 10 0.191 [-0.5, 0.73] 0.036 -0.238 0.598 0.438 0.082\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5b66\u7fd2\u6642\u9593\u3068\u6700\u7d42\u8a66\u9a13\u306e\u6210\u7e3e\u306e\u9593\u306e\u504f\u76f8\u95a2\u306f<strong>0.191<\/strong>\u3067\u3042\u308a\u3001\u5c0f\u3055\u306a\u6b63\u306e\u76f8\u95a2\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002\u73fe\u5728\u306e\u6210\u7e3e\u304c\u4e00\u5b9a\u3067\u3042\u308b\u3068\u4eee\u5b9a\u3059\u308b\u3068\u3001\u5b66\u7fd2\u6642\u9593\u6570\u304c\u5897\u52a0\u3059\u308b\u306b\u3064\u308c\u3066\u3001\u8a66\u9a13\u306e\u5f97\u70b9\u3082\u5897\u52a0\u3059\u308b\u50be\u5411\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8907\u6570\u306e\u5909\u6570\u9593\u306e\u504f\u76f8\u95a2\u3092\u4e00\u5ea6\u306b\u8a08\u7b97\u3059\u308b\u306b\u306f\u3001 <strong>.pcorr()<\/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;\">#calculate all pairwise partial correlations, rounded to three decimal places<\/span>\ndf.pcorr().round(3)\n\n\t     currentGrade hours examScore\ncurrentGrade 1.000 -0.311 0.736\nhours -0.311 1.000 0.191\nexamScore 0.736 0.191 1.000\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;\">\u73fe\u5728\u306e\u5b66\u5e74\u3068\u5b66\u7fd2\u6642\u9593\u306e\u9593\u306e\u504f\u76f8\u95a2\u306f<strong>-0.311<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u73fe\u5728\u306e\u6210\u7e3e\u3068\u8a66\u9a13\u306e\u6210\u7e3e\u306e\u9593\u306e\u504f\u76f8\u95a2<strong>0.736<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u52c9\u5f37\u6642\u9593\u3068\u8a66\u9a13\u5f97\u70b9\u306e\u9593\u306e\u504f\u76f8\u95a2\u306f<strong>0.191 \u3067\u3057\u305f<\/strong>\u3002<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u7d71\u8a08\u5b66\u3067\u306f\u3001 \u30d4\u30a2\u30bd\u30f3\u76f8\u95a2\u4fc2\u6570\u3092\u4f7f\u7528\u3057\u30662 \u3064\u306e\u5909\u6570\u9593\u306e\u7dda\u5f62\u95a2\u4fc2\u3092\u6e2c\u5b9a\u3059\u308b\u3053\u3068\u304c\u3088\u304f\u3042\u308a\u307e\u3059\u3002\u305f\u3060\u3057\u3001\u5834\u5408\u306b\u3088\u3063\u3066\u306f\u3001 3 \u756a\u76ee\u306e\u5909\u6570\u3092\u5236\u5fa1\u3057\u306a\u304c\u30892 \u3064\u306e\u5909\u6570\u9593\u306e\u95a2\u4fc2\u3092\u7406\u89e3\u3057\u305f\u3044\u5834\u5408\u3082\u3042\u308a\u307e\u3059\u3002 \u305f\u3068\u3048\u3070\u3001\u30af\u30e9\u30b9\u5185\u3067\u306e [&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-825","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>Python \u3067\u504f\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 - Statology<\/title>\n<meta name=\"description\" content=\"Python\u3067\u504f\u76f8\u95a2\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u308f\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\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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