我正在使用估算的数据(通过r-MICE)来执行一些线性回归。
例如:
fitimp2 <- with(impdatlong_mids,
lm(nat11 ~ sex + AGE +
I(fasbathroom + fasbedroom + fascomputers +
fasdishwash + fasfamcar + fasholidays)+fatherhome1 +
motherhome1 +talkfather +talkmother + I(famsup+famhelp)+
fmeal))当我调用摘要时:
summary(pool(fitimp2))我没有得到符号代码/星号,这不是一个大问题,只是有点不方便,但更重要的是,我不像常规模型摘要那样获得R或调整后的R平方。我的输出如下所示:
term estimate
1 (Intercept) 1.560567449
2 sex 0.219087438
3 AGE 0.005548590
4 I(fasbathroom + fasbedroom + fascomputers + fasdishwash + fasfamcar + fasholidays) -0.009028995
5 fatherhome1 -0.055150616
6 motherhome1 0.001564544
7 talkfather 0.115541883
8 talkmother 0.149495541
9 I(famsup + famhelp) -0.006991828
10 fmeal 0.081613347
std.error statistic df p.value
1 0.162643898 9.59499539 1118.93509 0.000000e+00
2 0.024588831 8.91003863 4984.09857 0.000000e+00
3 0.007672715 0.72315871 3456.13665 4.696313e-01
4 0.005495148 -1.64308498 804.41067 1.007561e-01
5 0.030861154 -1.78705617 574.98597 7.445506e-02
6 0.057226626 0.02733944 90.61856 9.782491e-01
7 0.012924577 8.93970310 757.72150 0.000000e+00
8 0.016306200 9.16801814 239.68789 0.000000e+00
9 0.003215294 -2.17455343 1139.07321 2.986886e-02
10 0.011343686 7.19460591 2677.98522 8.095746e-13你有什么办法让R平方值显示出来吗?提前谢谢。
发布于 2020-11-22 05:11:19
你有没有尝试过未调整的r-sq:pool.r.squared(fitimp2)
对于调整后的r-sq:pool.r.squared(fitimp2, adjusted = TRUE)
参见pg。51%的https://cran.r-project.org/web/packages/mice/mice.pdf
https://stackoverflow.com/questions/64645285
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