Dear all,
I have a question about the output of linear mixed model fitted in R
using nlme package. In particular, what are the t-values that are given
in an output, how are they calculated and based on what test? I guess it
cannot be a simple Student t-test, otherwise how can the simple Student
t-test test for significance of interactions, right? I cannot find this
information in any of R help resources on linear-mixed models and I also
checked few books.
Example: the part of R output
model.b<-lme(diff~age+height,random=~1|field/replicate)
Linear mixed-effects model fit by REML
Fixed effects: diff ~ age + height_cm
Value Std.Error DF t-value p-value
(Intercept) 172.83559 27.094642 107 6.378958 0.0000
ageyoung -5.28206 11.239981 4 -0.469935 0.6629
height_cm -0.67662 0.450183 107 -1.502997 0.1358
Thank you very much for your help!
Best wishes,
Olja
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