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 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.