使用lm方法进行summary:

coef(summary.lm(model))

这将为所有可识别系数提供一个包含 4 列(平均值、标准误差、t 值、p 值)的系数表/矩阵.然后您可以提取标准误差的第二列.

This will give a coefficient table / matrix of 4 columns (mean, standard error, t-value, p-value) for all identifiable coefficients. Then you can extract the 2nd column for standard error.

aov 返回主要类aov"的对象，但次要类lm"，因此 summary.aov 和 summary.lm 都适用但给出了不同的东西.当你简单地做summary(model)时，前者作为S3方法调度的结果被调用.

aov returns object of primary class "aov" but secondary class "lm", hence both summary.aov and summary.lm apply but gives different things. When you simply do summary(model), the former is called as the result of S3 method dispatching.