我正在使用该lme4包并运行线性混合模型,但我很困惑,但输出并期望我遇到错误,即使我没有收到错误消息。基本问题是,当我拟合这样的模型lmer(Values ~ stimuli + timeperiod + scale(poly(distance.code,3,raw=FALSE))*habitat + wind.speed + (1|location.code), data=df, REML=FALSE)
,然后使用类似的东西查看结果时,summary我看到了所有模型固定(和随机)效应,正如我所期望的那样,但栖息地效应始终显示为habitatForest。像这样:
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 996.63179 8.16633 31.22730 122.042 < 2e-16 ***
stimuliBHCO -3.57541 1.28877 8750.89273 -2.774 0.005544 **
stimuliCOHA -10.17037 1.29546 8754.17156 -7.851 4.62e-15 ***
timeperiod 0.19900 0.05516 8744.95307 3.608 0.000310 ***
scale(poly(distance.code, 3, raw = FALSE))1 -3.87613 0.71431 8745.70773 -5.426 5.90e-08 ***
scale(poly(distance.code, 3, raw = FALSE))2 2.65854 0.71463 8745.19353 3.720 0.000200 …Run Code Online (Sandbox Code Playgroud)