{"id":207,"date":"2021-07-31T13:40:38","date_gmt":"2021-07-31T05:40:38","guid":{"rendered":"https:\/\/leave-wuli.cn\/?p=207"},"modified":"2021-07-31T13:42:48","modified_gmt":"2021-07-31T05:42:48","slug":"%e4%bd%bf%e7%94%a8matlab%e8%bf%9b%e8%a1%8c%e5%9f%ba%e4%ba%8e%e6%97%b6%e9%97%b4%e5%ba%8f%e5%88%97%e6%95%b0%e6%8d%ae%e7%9a%84%e4%b8%a4%e5%9b%a0%e7%b4%a0%e9%87%8d%e5%a4%8d%e6%b5%8b%e9%87%8f%e6%96%b9","status":"publish","type":"post","link":"https:\/\/www.leave-wuli.cn\/?p=207","title":{"rendered":"\u4f7f\u7528Matlab\u8fdb\u884c\u57fa\u4e8e\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u7684\u4e24\u56e0\u7d20\u91cd\u590d\u6d4b\u91cf\u65b9\u5dee\u5206\u6790\u7684\u89e3\u51b3\u65b9\u6848"},"content":{"rendered":"\n

\u65b9\u5dee\u5206\u6790\uff0c\u5373analysis of variance\uff0c\u7b80\u5199\u4e3aANOVA\uff0c\u6307\u7684\u662f\u5bf9\u6837\u672c\u7684\u603b\u65b9\u5dee\u8fdb\u884c\u5206\u89e3\u5206\u6790\uff0c\u5f53\u81ea\u53d8\u91cf\u7684\u56e0\u5b50\u5927\u4e8e\u7b49\u4e8e\u4e09\u4e2a\u7c7b\u522b\u60c5\u51b5\u4e0b\uff0c\u68c0\u9a8c\u5176\u5404\u7c7b\u522b\u95f4\u5e73\u5747\u6570\u662f\u5426\u76f8\u7b49\u7684\u7edf\u8ba1\u6a21\u5f0f\u3002\u8fd8\u8bb0\u5f97\u5f53\u5e74\u4e0a\u5fc3\u7406\u7edf\u8ba1\u548cSPSS\u64cd\u4f5c\u4e0e\u5e94\u7528\u65f6\uff0c\u8001\u5e08\u5bf9\u65b9\u5dee\u5206\u6790\u7684\u5e73\u65b9\u548c\u5206\u89e3\u6781\u4e3a\u7ec6\u81f4\u7684\u8bb2\u89e3\uff0c\u4e5f\u662f\u5230\u4e86\u7814\u7a76\u751f\u9636\u6bb5\u624d\u9886\u609f\u5230\u65b9\u5dee\u5206\u6790\u4e2d\u5bf9\u56e0\u53d8\u91cf\u53d8\u5f02\u6765\u6e90\u5206\u89e3\u7684\u601d\u60f3\u3002<\/p>\n\n\n\n

\u5176\u5b9e\u7528Matlab\u8fdb\u884c\u65b9\u5dee\u5206\u6790\u5927\u53ef\u4e0d\u5fc5\uff0c\u7528SPSS\u6216\u8005R language\u8fdb\u884c\u5206\u6790\u5e94\u8be5\u90fd\u4f1a\u6bd4\u8f83Matlab\u66f4\u53cb\u597d\u3002\u53ea\u662f\u6700\u8fd1\u5728\u505a\u65f6\u5e8f\u6570\u636e\u7684\u5206\u6790\uff0c\u9700\u8981\u770b\u968f\u7740\u65f6\u95f4\u7684\u53d8\u5316\u67d0\u4e2a\u53d8\u91cf\u7684\u6548\u5e94\u5982\u4f55\u6539\u53d8\u3002\u4f8b\u5982EEG\u6570\u636e\u5c31\u662f\u4e00\u4e2a\u65f6\u5e8f\u6570\u636e\uff0c\u5f53\u6211\u4eec\u60f3\u770b\u4e0d\u540c\u5b9e\u9a8c\u6761\u4ef6\u5728\u67d0\u4e2a\u8111\u7535\u6307\u6807\u4e0a\u7684\u6548\u5e94\u662f\u5982\u4f55\u968f\u7740\u65f6\u95f4\u7684\u6539\u53d8\u800c\u6539\u53d8\uff08\u4f8b\u5982\uff0c\u4ec0\u4e48\u65f6\u5019\u5f00\u59cb\u8fbe\u5230\u663e\u8457\u6027\u6c34\u5e73\uff09\u7684\u65f6\u5019\uff0c\u5c31\u9700\u8981\u5728\u6bcf\u4e2a\u65f6\u95f4\u70b9\u8fdb\u884c\u4e00\u6b21\u6bd4\u8f83\u3002\u7531\u4e8e\u6bcf\u6b21\u8ba1\u7b97\u548c\u6bd4\u8f83\u7684\u6570\u636e\u7ed3\u6784\u5176\u5b9e\u5c31\u662f\u77e9\u9635\u6216\u8005\u5411\u91cf\uff0c\u524d\u671f\u7684\u6570\u636e\u5206\u6bb5\u3001\u6839\u636e\u65f6\u95f4\u70b9\u8fdb\u884c\u7d2f\u79ef\u5230\u540e\u9762\u7684t\u68c0\u9a8c\uff0c\u4e00\u822c\u5c31\u7528Matlab\u4e00\u6b21\u5b8c\u6210\u4e86\u3002<\/p>\n\n\n\n

\u6211\u5728\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\u9047\u5230\u7684\u95ee\u9898\u5728\u4e8e\uff0c\u5f53\u6211\u5c06\u6570\u636e\u6210\u529f\u5206\u6bb5\u5e76\u7d2f\u79ef\u540e\uff0c\u53d1\u73b0\u65e0\u6cd5\u901a\u8fc7\u65b9\u5dee\u5206\u6790\u68c0\u9a8c\u67d0\u4e2a\u81ea\u53d8\u91cf\u7684\u6548\u5e94\u3002\u56e0\u4e3aMatlab\u4e2d\u81ea\u5e26\u7684\u65b9\u5dee\u5206\u6790\u51fd\u6570\u53ea\u6709anova\u3001anova2\u4ee5\u53caanovan\uff0c\u4f46\u662f\u8fd9\u51e0\u4e2a\u51fd\u6570\u53ea\u80fd\u8fdb\u884c\u666e\u901a\u7684\u65b9\u5dee\u5206\u6790\uff0c\u5bf9\u4e8e\u91cd\u590d\u6d4b\u91cf\u8bbe\u8ba1\u7684\u5b9e\u9a8c\u5e76\u4e0d\u9002\u7528\uff0c\u7279\u522b\u662f\u6211\u7684\u5b9e\u9a8c\u8bbe\u8ba1\u4e2d\u6bcf\u4e2a\u7ec4\u5185\u81ea\u53d8\u91cf\u90fd\u67093\u4e2a\u56e0\u7d20\u3002\u60f3\u7740\u5b9e\u5728\u4e0d\u884c\uff0c\u9700\u8981\u81ea\u5df1\u5199\u91cd\u590d\u6d4b\u91cf\u65b9\u5dee\u5206\u6790\u7684\u51fd\u6570\u4e86\uff0c\u8fd8\u662f\u5f88\u6cae\u4e27\u7684\uff0c\u56e0\u4e3a\u8fd9\u5bf9\u6211\u80af\u5b9a\u662f\u53c8\u4e00\u4e2a\u5927\u5de5\u7a0b\u3002\u4e0d\u8fc7\u5929\u65e0\u7edd\u4eba\u4e4b\u8def\uff0c\u6211\u5728MathWorks\u7684\u8bba\u575b<\/a>\u4e0a\u770b\u5230\u6709\u7528\u6237\uff08Aaron Schurger<\/a>\uff09\u4e0a\u4f20\u4e86\u4ed6\u81ea\u5df1\u5199\u7684\u4e24\u56e0\u7d20\u91cd\u590d\u6d4b\u91cf\u65b9\u5dee\u5206\u6790\u7684\u51fd\u6570\u4ee3\u7801\uff0c\u6211\u5c31\u4e0b\u8f7d\u4e0b\u6765\u5f00\u59cb\u7814\u7a76\u3002<\/p>\n\n\n\n

\u8fd9\u4e2a\u4ee3\u7801\u4e0d\u957f\uff0c\u6700\u7ec8\u7684\u51fd\u6570\u7ed3\u6784\u957f\u8fd9\u6837\uff1a<\/p>\n\n\n\n

rm_anova2(Y,S,F1,F2,FACTNAMES)<\/code><\/pre>\n\n\n\n
\u4e00\u5171\u67095\u4e2a\u53c2\u6570\uff0c\u5206\u522b\u662f\uff1a\u2460Y\u4ee3\u8868\u56e0\u53d8\u91cf\uff1b\u2461S\u4ee3\u8868\u6837\u672c\u7f16\u53f7\uff1b\u2462F1\u4ee3\u8868\u7b2c\u4e00\u4e2a\u81ea\u53d8\u91cf\u7684\u6c34\u5e73\uff1b\u2463F2\u4ee3\u8868\u7b2c\u4e8c\u4e2a\u81ea\u53d8\u91cf\u7684\u6c34\u5e73\uff1b\u2464 FACTNAMES \u4ee3\u8868\u4e24\u4e2a\u81ea\u53d8\u91cf\u7684\u540d\u79f0\u3002<\/p>\n\n\n\n
\u9664\u4e86 FACTNAMES \u65f6\u5b57\u7b26\u4e32\u6784\u6210\u7684\u5143\u80de\u4e4b\u5916\uff0c\u5176\u4f59\u56db\u4e2a\u53c2\u6570\u90fd\u5fc5\u987b\u662f\u4e00\u4e2a\u4e00\u7ef4\u7684\u5217\u5411\u91cf\uff0c\u5e76\u4e14\u9700\u8981\u4e00\u4e00\u5bf9\u5e94\u3002\u4e3e\u4e2a\u4f8b\u5b50\uff0c\u6211\u4eec\u5e38\u89c1\u7684\u4e24\u56e0\u7d20\u91cd\u590d\u6d4b\u91cf\u65b9\u5dee\u5206\u6790\uff08\u4ee52\u00d72\u7ec4\u5185\u8bbe\u8ba1\u4e3a\u4f8b\uff09\u6570\u636e\u7ed3\u6784\u4e3a\uff1a<\/p>\n\n\n\n
participants_id<\/td>a1b1<\/td>a1b2<\/td>a2b1<\/td>a2b2<\/td><\/tr>
1<\/td>2<\/td>4<\/td>3<\/td>6<\/td><\/tr>
2<\/td>2<\/td>3<\/td>4<\/td>6<\/td><\/tr>
3<\/td>1<\/td>2<\/td>3<\/td>5<\/td><\/tr><\/tbody><\/table>
\u793a\u4f8b\u6570\u636e\uff1a\u4f7f\u7528SPSS\u5206\u6790\u7684\u5e38\u89c1\u6570\u636e\u7ed3\u6784<\/figcaption><\/figure>\n\n\n\n
\u5728\u4f7f\u7528\u8fd9\u4e2a\u51fd\u6570\u4e4b\u524d\uff0c\u5c31\u9700\u8981\u5c06\u5e38\u89c1\u7684\u6570\u636e\u7ed3\u6784\u8f6c\u6362\u4e3a\u8be5\u51fd\u6570\u6240\u8981\u6c42\u7684\u6570\u636e\u7ed3\u6784\uff0c\u5728rm_anova2\u51fd\u6570\u4e2d\uff0c\u6bcf\u4e00\u4e2a\u53c2\u6570\u7684\u884c\u6570\u90fd\u662f\u603b\u6570\u636e\u70b9\u4e2a\u6570\uff0c\u5373\u88ab\u8bd5\u6570\u00d7\u81ea\u53d8\u91cf1\u6c34\u5e73\u6570\u00d7\u81ea\u53d8\u91cf2\u6c34\u5e73\u6570\u3002\u5c06\u4e0a\u4f8b\u8f6c\u6362\u540e\u7684\u6570\u636e\u7ed3\u6784\u4e3a\uff1a<\/p>\n\n\n\n
Y<\/td>S<\/td>F1<\/td>F2<\/td><\/tr>
2<\/td>1<\/td>1<\/td>1<\/td><\/tr>
2<\/td>2<\/td>1<\/td>1<\/td><\/tr>
1<\/td>3<\/td>1<\/td>1<\/td><\/tr>
4<\/td>1<\/td>1<\/td>2<\/td><\/tr>
3<\/td>2<\/td>1<\/td>2<\/td><\/tr>
2<\/td>3<\/td>1<\/td>2<\/td><\/tr>
3<\/td>1<\/td>2<\/td>1<\/td><\/tr>
4<\/td>2<\/td>2<\/td>1<\/td><\/tr>
3<\/td>3<\/td>2<\/td>1<\/td><\/tr>
6<\/td>1<\/td>2<\/td>2<\/td><\/tr>
6<\/td>2<\/td>2<\/td>2<\/td><\/tr>
5<\/td>3<\/td>2<\/td>2<\/td><\/tr><\/tbody><\/table>
\u793a\u4f8b\u6570\u636e\uff1arm_anova2\u51fd\u6570\u524d\u56db\u4e2a\u53c2\u6570\u7684\u6570\u636e\u7ed3\u6784<\/figcaption><\/figure>\n\n\n\n
\u51fd\u6570\u6700\u7ec8\u8f93\u51fa\u7684\u7ed3\u679c\u662f\u4e00\u4e2a7\u00d76\u7684\u5143\u80de\uff1a<\/p>\n\n\n\n
source<\/td>SS<\/td>df<\/td>MS<\/td>F<\/td>p<\/td><\/tr>
F1<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
F2<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
F1\u00d7F2<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
F1\u00d7Sub<\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
F2\u00d7Sub <\/td><\/td><\/td><\/td><\/td><\/td><\/tr>
F1\u00d7F2\u00d7Sub <\/td><\/td><\/td><\/td><\/td><\/td><\/tr><\/tbody><\/table>
rm_anova2\u7ed3\u679c\u8f93\u51fa\u793a\u610f\u56fe<\/figcaption><\/figure>\n\n\n\n
\u8be5\u51fd\u6570\u6700\u7ec8\u53ef\u4ee5\u8f93\u51fa\u4e0d\u540c\u53d8\u5f02\u6765\u6e90\u7684F\u503c\u548c\u5bf9\u5e94\u7684p\u503c\uff08\u663e\u8457\u6027\u6c34\u5e73\uff09\uff0c\u4f46\u662f\u4e0d\u80fd\u8fdb\u4e00\u6b65\u8fdb\u884c\u591a\u91cd\u6bd4\u8f83\u548c\u7b80\u5355\u6548\u5e94\u5206\u6790\u3002\u4f46\u662f\u5982\u679c\u53ea\u662f\u60f3\u770b\u4e0d\u540c\u65f6\u95f4\u6bb5\u7684p\u503c\u5982\u4f55\u968f\u7740\u65f6\u95f4\u7684\u53d8\u5316\u800c\u53d8\u5316\uff0c\u5374\u662f\u5b8c\u5168\u591f\u7528\u7684\uff0c\u8be5\u51fd\u6570\u7684\u4e00\u4e2a\u4e3b\u8981\u7f3a\u70b9\u5728\u4e8e\u9002\u7528\u5176\u7684\u6570\u636e\u7ed3\u6784\u548c\u5e38\u89c1\u7684\u4e24\u56e0\u7d20\u91cd\u590d\u6d4b\u91cf\u65b9\u5dee\u5206\u6790\u7684\u6570\u636e\u7ed3\u6784\u6709\u5f88\u5927\u533a\u522b\u3002\u57fa\u4e8e\u6b64\uff0c\u6211\u5bf9\u8be5\u4ee3\u7801\u8fdb\u884c\u4e86\u7b80\u5355\u6539\u826f\uff0c\u5728\u7528\u8be5\u8fdb\u884c\u65b9\u5dee\u5206\u6790\u4e4b\u524d\uff0c\u53ef\u4ee5\u5148\u7528\u51e0\u884c\u4ee3\u7801\u5c06\u5e38\u89c1\u7684\u6570\u636e\u7ed3\u6784\u8f6c\u5316\u4e3a\u9002\u5408\u8be5\u51fd\u6570\u7684\u6570\u636e\u7ed3\u6784\uff0c\u5e76\u80fd\u591f\u7528for\u5faa\u73af\u6765\u5c06\u591a\u4e2a\u65f6\u95f4\u70b9\u4e0bp\u503c\u4e00\u4e00\u8f93\u51fa\u3002<\/p>\n\n\n\n
%\u8bbe\u7f6e\u53c2\u6570\n    sub = 30; % \u88ab\u8bd5\u6570\u91cf\n    F1_con = 3; %F1\u81ea\u53d8\u91cf\u6c34\u5e73\u6570\n    F2_con = 3; %F2\u81ea\u53d8\u91cf\u6c34\u5e73\u6570\n    total_con = F1_con * F2_con ; %\u5b9e\u9a8c\u6761\u4ef6\u6570\u76ee\uff0c\u8fd9\u91cc\u662f3\u00d73\u7684\u5b9e\u9a8c\u8bbe\u8ba1\u3002\n    \n    %\u6784\u5efa\u53c2\u6570\u77e9\u9635\n    %Y\u4e3a\u56e0\u53d8\u91cf\uff0c\u9700\u8981\u6574\u5408\u4e3a\u4e00\u7ef4\u5217\u5411\u91cf\n    Y = [\u6b64\u5904\u6839\u636e\u539f\u59cb\u7ed3\u6784\u7684\u6570\u636e\u4e00\u5217\u5217\u7684\u6392\u5217]\n    %S\u4e3a\u88ab\u8bd5\uff0c\u548c\u8bfb\u53d6\u6587\u4ef6\u6570\u76ee\u6709\u5173\n    S = repmat([1:sub], 1, total_con).';\n    % F1\u548cF2 \u4e3a\u81ea\u53d8\u91cf\u7684\u6c34\u5e73\n    F1 = sort(repmat([1:F1_con], 1, sub*F2_con)).';\n    F2 = repmat(sort(repmat([1:F2_con], 1, sub)), 1, F1_con).';\n    %FACTNAMES\u4e3a\u53d8\u91cf\u540d\u79f0\n    FACTNAMES = {'wenti', 'bianshu'};\n    \n    %\u91cd\u590d\u6d4b\u91cf\u65b9\u5dee\u5206\u6790\n    tab = rm_anova2(Y, S, F1, F2, FACTNAMES);\n\n\n    %\u8f93\u51fap\u503c\n    P = tab{2, 6};\n<\/code><\/pre>\n\n\n\n
\u4ee5\u4e0a\u662f\u4e00\u4e2a\u53ef\u4ee5\u8003\u8651\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u4f46\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5728\u8fdb\u884c\u591a\u6b21\u65b9\u5dee\u5206\u6790\u6bd4\u8f83\u65f6\uff0c\u4e00\u5b9a\u8981\u8fdb\u884c\u591a\u91cd\u6bd4\u8f83\u6821\u6b63\uff08FDR\uff09<\/strong>\uff0c\u6821\u6b63\u7684\u6b21\u6570\u548c\u6bd4\u8f83\u7684\u6b21\u6570\u76f8\u5173\uff0c\u8be5\u6a21\u5757\u9700\u8981\u548cfor\u5faa\u73af\u7684\u6a21\u5757\u914d\u5408\u4f7f\u7528\u3002<\/p>\n\n\n\n
Citation<\/strong><\/p>\n\n\n\n
Aaron Schurger (2021). Two-way repeated measures ANOVA (https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/6874-two-way-repeated-measures-anova), MATLAB Central File Exchange. Retrieved July 31, 2021.<\/p><\/blockquote>\n\n\n\n
\u539f\u59cb\u4ee3\u7801\u4e0b\u8f7d\uff1ahttps:\/\/www.mathworks.com\/matlabcentral\/mlc-downloads\/downloads\/submissions\/6874\/versions\/5\/download\/zip<\/a><\/p>\n\n\n\n
\u5982\u679c\u6709\u540c\u4ec1\u8fd8\u6709\u5176\u4ed6\u89e3\u51b3\u65b9\u6848\uff0c\u6216\u8005\u6709\u5728\u6b64\u57fa\u7840\u4e0a\u8fdb\u884c\u591a\u91cd\u6bd4\u8f83\u548c\u7b80\u5355\u5206\u6790\u7684\u6539\u826f\u4ee3\u7801\uff0c\u6b22\u8fce\u4ea4\u6d41\u4e0e\u5206\u4eab\u3002\u53ef\u4ece\u8054\u7cfb\u9875\u9762<\/a>\u8054\u7cfb\u5230\u6211\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
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