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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