{"id":859,"date":"2023-07-28T12:45:51","date_gmt":"2023-07-28T12:45:51","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e5%b7%a8%e8%9f%92\/"},"modified":"2023-07-28T12:45:51","modified_gmt":"2023-07-28T12:45:51","slug":"%e5%b7%a8%e8%9f%92","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e5%b7%a8%e8%9f%92\/","title":{"rendered":"\u5982\u4f55\u5728 python \u4e2d\u6267\u884c ancova"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">ANCOVA<\/span> <span style=\"color: #000000;\">\uff08\u201c\u534f\u65b9\u5dee\u5206\u6790\u201d\uff09\u7528\u4e8e\u786e\u5b9a\u5728\u63a7\u5236\u4e00\u4e2a\u6216\u591a\u4e2a<a href=\"https:\/\/statorials.org\/cn\/\u534f\u53d8\u91cf2\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u534f\u53d8\u91cf<\/a>\u540e\uff0c\u4e09\u4e2a\u6216\u591a\u4e2a\u72ec\u7acb\u7ec4\u7684\u5e73\u5747\u503c\u4e4b\u95f4\u662f\u5426\u5b58\u5728\u7edf\u8ba1\u663e\u7740\u5dee\u5f02<\/span><a href=\"https:\/\/statorials.org\/cn\/\u5b89\u79d1\u592b\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u3002<\/a><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c ANCOVA\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1aPython \u4e2d\u7684 ANCOVA<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4e00\u4f4d\u8001\u5e08\u60f3\u77e5\u9053\u4e09\u79cd\u4e0d\u540c\u7684\u5b66\u4e60\u6280\u5de7\u662f\u5426\u4f1a\u5f71\u54cd\u8003\u8bd5\u6210\u7ee9\uff0c\u4f46\u5979\u60f3\u8003\u8651\u5230\u5b66\u751f\u5f53\u524d\u5728\u73ed\u4e0a\u7684\u6210\u7ee9\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5b83\u5c06\u4f7f\u7528\u4ee5\u4e0b\u53d8\u91cf\u6267\u884c ANCOVA\uff1a<\/span><\/p>\n<ul data-slot-rendered-dynamic=\"true\">\n<li><span style=\"color: #000000;\"><strong>\u56e0\u7d20\u53d8\u91cf\uff1a<\/strong>\u6280\u672f\u7814\u7a76<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u534f\u53d8\u91cf\uff1a<\/strong>\u5f53\u524d\u5206\u6570<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u54cd\u5e94\u53d8\u91cf\uff1a<\/strong>\u8003\u8bd5\u6210\u7ee9<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u8bf7\u6309\u7167\u4ee5\u4e0b\u6b65\u9aa4\u5bf9\u6b64\u6570\u636e\u96c6\u6267\u884c ANCOVA\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u7b2c 1 \u6b65\uff1a\u8f93\u5165\u6570\u636e\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u9996\u5148\uff0c\u6211\u4eec\u5c06\u521b\u5efa\u4e00\u4e2a pandas DataFrame \u6765\u4fdd\u5b58\u6211\u4eec\u7684\u6570\u636e\uff1a<\/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> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create data<\/span>\ndf = pd.DataFrame({'technique': np.repeat(['A', 'B', 'C'], 5),\n                   'current_grade': [67, 88, 75, 77, 85,\n                                     92, 69, 77, 74, 88, \n                                     96, 91, 88, 82, 80],\n                   'exam_score': [77, 89, 72, 74, 69,\n                                  78, 88, 93, 94, 90,\n                                  85, 81, 83, 88, 79]})\n<span style=\"color: #008080;\">#view data<\/span> \ndf\n\n   technical current_grade exam_score\n0 A 67 77\n1 A 88 89\n2 A 75 72\n3 A 77 74\n4 A 85 69\n5 B 92 78\n6 B 69 88\n7 B 77 93\n8 B 74 94\n9 B 88 90\n10 C 96 85\n11 C 91 81\n12 C 88 83\n13 C 82 88\n14 C 80 79\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u7b2c 2 \u6b65\uff1a\u6267\u884c\u65b9\u5dee\u5206\u6790\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u4f7f\u7528 penguin \u5e93\u4e2d\u7684<a href=\"https:\/\/pingouin-stats.org\/generated\/pingouin.ancova.html\" target=\"_blank\" rel=\"noopener noreferrer\">ancova() \u51fd\u6570<\/a>\u6267\u884c ANCOVA\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\"><span style=\"color: #000000;\">pip<\/span> install <span style=\"color: #000000;\">penguin<\/span> \nfrom<\/span> penguin <span style=\"color: #107d3f;\">import<\/span> ancova\n\n<span style=\"color: #008080;\">#perform ANCOVA<\/span>\nancova(data= <span style=\"color: #008000;\">df<\/span> , dv=' <span style=\"color: #008000;\">exam_score<\/span> ', covar=' <span style=\"color: #008000;\">current_grade<\/span> ', between=' <span style=\"color: #008000;\">technique<\/span> ')\n\n\n        Source SS DF F p-unc np2\n0 technical 390.575130 2 4.80997 0.03155 0.46653\n1 current_grade 4.193886 1 0.10329 0.75393 0.00930\n2 Residual 446.606114 11 NaN NaN NaN\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u7b2c 3 \u6b65\uff1a\u89e3\u91ca\u7ed3\u679c\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ece ANCOVA \u8868\u4e2d\uff0c\u6211\u4eec\u770b\u5230\u7814\u7a76\u6280\u672f\u7684 p \u503c\uff08p-unc =\u201c\u672a\u6821\u6b63\u7684 p \u503c\u201d\uff09\u4e3a<strong>0.03155<\/strong> \u3002\u7531\u4e8e\u8be5\u503c\u5c0f\u4e8e 0.05\uff0c\u56e0\u6b64\u6211\u4eec\u53ef\u4ee5\u62d2\u7edd\u539f\u5047\u8bbe\uff0c<em>\u5373\u5373\u4f7f\u8003\u8651\u4e86\u5b66\u751f\u5728\u73ed\u7ea7\u4e2d\u7684\u5f53\u524d\u6210\u7ee9\uff0c<\/em>\u6bcf\u79cd\u5b66\u4e60\u6280\u672f\u90fd\u4f1a\u5bfc\u81f4\u76f8\u540c\u7684\u5e73\u5747\u8003\u8bd5\u6210\u7ee9\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>ANCOVA \uff08\u201c\u534f\u65b9\u5dee\u5206\u6790\u201d\uff09\u7528\u4e8e\u786e\u5b9a\u5728\u63a7\u5236\u4e00\u4e2a\u6216\u591a\u4e2a\u534f\u53d8\u91cf\u540e\uff0c\u4e09\u4e2a\u6216\u591a\u4e2a\u72ec\u7acb\u7ec4\u7684\u5e73\u5747\u503c\u4e4b\u95f4\u662f\u5426\u5b58\u5728\u7edf\u8ba1\u663e\u7740 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-859","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c ANCOVA - Statorials<\/title>\n<meta name=\"description\" content=\"\u5173\u4e8e\u5982\u4f55\u5728 Python \u4e2d\u6267\u884c ANCOVA \u7684\u7b80\u5355\u8bf4\u660e\u3002\" \/>\n<meta name=\"robots\" content=\"index, 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