{"id":1763,"date":"2023-07-25T02:23:44","date_gmt":"2023-07-25T02:23:44","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e5%ba%94%e7%94%a8%e4%ba%8e%e5%85%b7%e6%9c%89-2-%e4%b8%aa%e6%88%96%e6%9b%b4%e5%a4%9a%e6%b0%b4%e5%b9%b3%e7%9a%84%e5%9b%a0%e7%b4%a0%e7%9a%84%e5%af%b9%e6%af%94\/"},"modified":"2023-07-25T02:23:44","modified_gmt":"2023-07-25T02:23:44","slug":"%e5%ba%94%e7%94%a8%e4%ba%8e%e5%85%b7%e6%9c%89-2-%e4%b8%aa%e6%88%96%e6%9b%b4%e5%a4%9a%e6%b0%b4%e5%b9%b3%e7%9a%84%e5%9b%a0%e7%b4%a0%e7%9a%84%e5%af%b9%e6%af%94","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e5%ba%94%e7%94%a8%e4%ba%8e%e5%85%b7%e6%9c%89-2-%e4%b8%aa%e6%88%96%e6%9b%b4%e5%a4%9a%e6%b0%b4%e5%b9%b3%e7%9a%84%e5%9b%a0%e7%b4%a0%e7%9a%84%e5%af%b9%e6%af%94\/","title":{"rendered":"\u5982\u4f55\u89e3\u51b3\uff1a\u5bf9\u6bd4\u53ea\u80fd\u5e94\u7528\u4e8e\u5177\u6709 2 \u4e2a\u6216\u66f4\u591a\u7ea7\u522b\u7684\u56e0\u7d20"},"content":{"rendered":"

<\/p>\n

\n

\u5728 R \u4e2d\u60a8\u53ef\u80fd\u9047\u5230\u7684\u4e00\u4e2a\u5e38\u89c1\u9519\u8bef\u662f\uff1a<\/span><\/p>\n

 Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]): \n  contrasts can be applied only to factors with 2 or more levels<\/strong><\/pre>\n
\u5f53\u60a8\u5c1d\u8bd5\u4f7f\u7528\u4f5c\u4e3a\u56e0\u5b50\u6216\u7279\u5f81\u5e76\u4e14\u53ea\u6709\u4e00\u4e2a\u552f\u4e00\u503c\u7684\u9884\u6d4b\u53d8\u91cf\u6765\u62df\u5408\u56de\u5f52\u6a21\u578b\u65f6\uff0c\u4f1a\u53d1\u751f\u6b64\u9519\u8bef\u3002<\/span><\/p>\n
\u672c\u6559\u7a0b\u5206\u4eab\u4e86\u53ef\u7528\u4e8e\u89e3\u51b3\u6b64\u9519\u8bef\u7684\u786e\u5207\u6b65\u9aa4\u3002<\/span><\/p>\n
\u793a\u4f8b\uff1a\u5982\u4f55\u4fee\u590d\u201c\u5bf9\u6bd4\u53ea\u80fd\u5e94\u7528\u4e8e\u5177\u6709 2 \u4e2a\u6216\u66f4\u591a\u7ea7\u522b\u7684\u56e0\u7d20\u201d<\/strong><\/h3>\n
\u5047\u8bbe\u6211\u4eec\u5728 R \u4e2d\u6709\u4ee5\u4e0b\u6570\u636e\u6846\uff1a<\/span><\/p>\n
 #create data frame\n<\/span>df <- data. frame<\/span> (var1=c(1, 3, 3, 4, 5),\n                 var2=as. factor<\/span> (4),\n                 var3=c(7, 7, 8, 3, 2),\n                 var4=c(1, 1, 2, 8, 9))\n\n#view data frame\n<\/span>df\n\n  var1 var2 var3 var4\n1 1 4 7 1\n2 3 4 7 1\n3 3 4 8 2\n4 4 4 3 8\n5 5 4 2 9\n<\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0c\u9884\u6d4b\u53d8\u91cfvar2<\/strong>\u662f\u4e00\u4e2a\u56e0\u5b50\uff0c\u5e76\u4e14\u53ea\u6709\u4e00\u4e2a\u552f\u4e00\u503c\u3002<\/span><\/p>\n
\u5982\u679c\u6211\u4eec\u5c1d\u8bd5\u4f7f\u7528var2<\/strong>\u4f5c\u4e3a\u9884\u6d4b\u53d8\u91cf\u6765\u62df\u5408\u591a\u5143\u7ebf\u6027\u56de\u5f52\u6a21\u578b\uff0c\u6211\u4eec\u5c06\u5f97\u5230\u4ee5\u4e0b\u9519\u8bef\uff1a<\/span><\/p>\n
 #attempt to fit regression model<\/span>\nmodel <- lm(var4 ~ var1 + var2 + var3, data=df)\n\nError in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]): \n  contrasts can be applied only to factors with 2 or more levels\n<\/strong><\/pre>\n
\u6211\u4eec\u5f97\u5230\u6b64\u9519\u8bef\u662f\u56e0\u4e3avar2<\/strong>\u53ea\u6709\u4e00\u4e2a\u552f\u4e00\u503c\uff1a4\u3002\u7531\u4e8e\u8be5\u9884\u6d4b\u53d8\u91cf\u6ca1\u6709\u53d8\u5316\uff0cR \u65e0\u6cd5\u6709\u6548\u5730\u62df\u5408\u56de\u5f52\u6a21\u578b\u3002<\/span><\/p>\n
\u6211\u4eec\u5b9e\u9645\u4e0a\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u8ba1\u7b97\u6570\u636e\u6846\u4e2d\u6bcf\u4e2a\u53d8\u91cf\u7684\u552f\u4e00\u503c\u7684\u6570\u91cf\uff1a<\/span><\/p>\n
 #count unique values for each variable<\/span>\nsapply( lapply<\/span> (df, unique), length)\n\nvar1 var2 var3 var4 \n   4 1 4 4 \n<\/strong><\/pre>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528lapply()<\/a>\u51fd\u6570\u6765\u663e\u793a\u6bcf\u4e2a\u53d8\u91cf\u7684\u6bcf\u4e2a\u552f\u4e00\u503c\uff1a<\/span><\/p>\n
 #display unique values for each variable\nlapply(df[c('var1', 'var2', 'var3')], unique)\n<\/span><\/span>\n$var1\n[1] 1 3 4 5\n\n$var2\n[1] 4\nLevels: 4\n\n$var3\n[1] 7 8 3 2<\/strong><\/pre>\n
\u6211\u4eec\u53ef\u4ee5\u770b\u5230var2<\/strong>\u662f\u552f\u4e00\u5177\u6709\u552f\u4e00\u503c\u7684\u53d8\u91cf\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u5730\u4ece\u56de\u5f52\u6a21\u578b\u4e2d\u5220\u9664 var2 \u6765\u7ea0\u6b63\u6b64\u9519\u8bef\uff1a<\/span><\/p>\n
 #fit regression model without using var2<\/em> as a predictor variable<\/span>\nmodel <- lm(var4 ~ var1 + var3, data=df)\n\n#view model summary\n<\/span>summary(model)\n\nCall:\nlm(formula = var4 ~ var1 + var3, data = df)\n\nResiduals:\n       1 2 3 4 5 \n 0.02326 -1.23256 0.91860 0.53488 -0.24419 \n\nCoefficients:\n            Estimate Std. Error t value Pr(>|t|)  \n(Intercept) 8.4070 3.6317 2.315 0.1466  \nvar1 0.6279 0.6191 1.014 0.4172  \nvar3 -1.1512 0.3399 -3.387 0.0772 .\n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 1.164 on 2 degrees of freedom\nMultiple R-squared: 0.9569, Adjusted R-squared: 0.9137 \nF-statistic: 22.18 on 2 and 2 DF, p-value: 0.04314<\/strong><\/pre>\n
\u901a\u8fc7\u4ece\u56de\u5f52\u6a21\u578b\u4e2d\u5220\u9664var2<\/strong> \uff0c\u6211\u4eec\u4e0d\u518d\u9047\u5230\u4e4b\u524d\u7684\u9519\u8bef\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n
\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u7b80\u5355\u7ebf\u6027\u56de\u5f52<\/a>
\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u591a\u5143\u7ebf\u6027\u56de\u5f52<\/a>
\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u903b\u8f91\u56de\u5f52<\/p>\n","protected":false},"excerpt":{"rendered":"
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