{"id":1289,"date":"2023-07-27T00:21:15","date_gmt":"2023-07-27T00:21:15","guid":{"rendered":"https:\/\/statorials.org\/cn\/python-%e4%b8%ad%e7%9a%84cramers-v\/"},"modified":"2023-07-27T00:21:15","modified_gmt":"2023-07-27T00:21:15","slug":"python-%e4%b8%ad%e7%9a%84cramers-v","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/python-%e4%b8%ad%e7%9a%84cramers-v\/","title":{"rendered":"\u5982\u4f55\u7528 python \u8ba1\u7b97 cramer \u7684 v"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Cramer \u7684 V<\/strong>\u662f\u4e24\u4e2a\u540d\u4e49\u53d8\u91cf\u4e4b\u95f4\u5173\u8054\u5f3a\u5ea6\u7684\u5ea6\u91cf\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5b83\u4ece 0 \u5230 1\uff0c\u5176\u4e2d\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong>\u8868\u793a\u4e24\u4e2a\u53d8\u91cf\u4e4b\u95f4\u6ca1\u6709\u5173\u8054\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong>\u8868\u793a\u4e24\u4e2a\u53d8\u91cf\u4e4b\u95f4\u5b58\u5728\u5f88\u5f3a\u7684\u5173\u8054\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u8ba1\u7b97\u65b9\u6cd5\u5982\u4e0b\uff1a<\/span><\/p>\n<p><strong><span style=\"color: #000000;\">\u514b\u83b1\u9ed8\u7684 V = \u221a <span style=\"border-top: 1px solid black;\">(X <sup>2<\/sup> \/n) \/ min(c-1, r-1)<\/span><\/span><\/strong><\/p>\n<p><span style=\"color: #000000;\">\u91d1\u5b50\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>X <sup>2<\/sup> \uff1a<\/strong>\u5361\u65b9\u7edf\u8ba1\u91cf<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>n\uff1a<\/strong>\u603b\u6837\u672c\u91cf<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>r\uff1a<\/strong>\u884c\u6570<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>c:<\/strong>\u5217\u6570<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u63d0\u4f9b\u4e86\u4e00\u4e9b\u4f7f\u7528 Python \u8ba1\u7b97\u5217\u8054\u8868\u7684 Cramer V \u7684\u793a\u4f8b\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 1\uff1a2\u00d72 \u8868\u7684 Cramer&#8217;s V<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u5982\u4f55\u8ba1\u7b97 2&#215;2 \u8868\u7684 Cramer&#8217;s V\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load necessary packages and functions\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">as<\/span> stats<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n\n#create 2x2 table\n<\/span>data = np. <span style=\"color: #3366ff;\">array<\/span> ([[7,12], [9,8]])\n\n<span style=\"color: #008080;\">#Chi-squared test statistic, sample size, and minimum of rows and columns\n<\/span>X2 = stats. <span style=\"color: #3366ff;\">chi2_contingency<\/span> (data, correction= <span style=\"color: #008000;\">False<\/span> )[0]\nn = np. <span style=\"color: #3366ff;\">sum<\/span> (data)\nminDim = min( <span style=\"color: #3366ff;\">data.shape<\/span> )-1\n\n<span style=\"color: #008080;\">#calculate Cramer's V<\/span>\nV = np. <span style=\"color: #3366ff;\">sqrt<\/span> ((X2\/n) \/ minDim)\n\n<span style=\"color: #008080;\">#display Cramer's V\n<\/span>print(V)\n\n0.1617<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Cramer \u7684 V \u7ed3\u679c\u4e3a<strong>0.1617<\/strong> \uff0c\u8fd9\u8868\u660e\u8868\u4e2d\u4e24\u4e2a\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u8054\u76f8\u5f53\u5f31\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 2\uff1a\u9002\u7528\u4e8e\u8f83\u5927\u8868\u683c\u7684 Cramer&#8217;s V<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>CramerV<\/strong>\u51fd\u6570\u6765\u8ba1\u7b97\u4efb\u610f\u5927\u5c0f\u7684\u6570\u7ec4\u7684 Cramer V\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u5982\u4f55\u8ba1\u7b97 2 \u884c 3 \u5217\u8868\u7684 Cramer&#8217;s V\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load necessary packages and functions\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">as<\/span> stats<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n\n#create 2x2 table\n<\/span>data = np. <span style=\"color: #3366ff;\">array<\/span> ([[6,9], [8, 5], [12, 9]])\n\n<span style=\"color: #008080;\">#Chi-squared test statistic, sample size, and minimum of rows and columns\n<\/span>X2 = stats. <span style=\"color: #3366ff;\">chi2_contingency<\/span> (data, correction= <span style=\"color: #008000;\">False<\/span> )[0]\nn = np. <span style=\"color: #3366ff;\">sum<\/span> (data)\nminDim = min( <span style=\"color: #3366ff;\">data.shape<\/span> )-1\n\n<span style=\"color: #008080;\">#calculate Cramer's V<\/span>\nV = np. <span style=\"color: #3366ff;\">sqrt<\/span> ((X2\/n) \/ minDim)\n\n<span style=\"color: #008080;\">#display Cramer's V\n<\/span>print(V)\n\n0.1775<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Cramer \u7684 V \u7ed3\u679c\u4e3a<strong>0.1775<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u6b64\u793a\u4f8b\u4f7f\u7528\u4e86 2 \u884c 3 \u5217\u7684\u8868\u683c\uff0c\u4f46\u5b8c\u5168\u76f8\u540c\u7684\u4ee3\u7801\u9002\u7528\u4e8e\u4efb\u4f55\u7ef4\u5ea6\u7684\u8868\u683c\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u5361\u65b9\u72ec\u7acb\u6027\u6d4b\u8bd5-python\/\" target=\"_blank\" rel=\"noopener\">Python \u4e2d\u7684\u5361\u65b9\u72ec\u7acb\u6027\u6d4b\u8bd5<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/python-\u5361\u65b9\u62df\u5408\u4f18\u5ea6\u68c0\u9a8c\/\" target=\"_blank\" rel=\"noopener\">Python \u4e2d\u7684\u5361\u65b9\u62df\u5408\u4f18\u5ea6\u68c0\u9a8c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u6e14\u6c11\u87d2\u86c7\u7cbe\u786e\u6d4b\u8bd5\/\" target=\"_blank\" rel=\"noopener\">Python \u4e2d\u7684 Fisher \u7cbe\u786e\u68c0\u9a8c<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cramer \u7684 V\u662f\u4e24\u4e2a\u540d\u4e49\u53d8\u91cf\u4e4b\u95f4\u5173\u8054\u5f3a\u5ea6\u7684\u5ea6\u91cf\u3002 \u5b83\u4ece 0 \u5230 1\uff0c\u5176\u4e2d\uff1a 0\u8868\u793a\u4e24\u4e2a\u53d8\u91cf\u4e4b\u95f4\u6ca1\u6709\u5173\u8054\u3002 [&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-1289","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\u8ba1\u7b97 Cramer&#039;s V - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97 Cramer&#039;s V\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, 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