library(nlme) m <- lme(Orthodont)
# scaled by the residuals variance pdMatrix(m$modelStruct$reStruct)
# raw lapply(pdMatrix(m$modelStruct$reStruct), "*", m$sigma^2)
However, it seems that in your model you use as a fixed-effect your grouping factor "ano", which is not in the spirit of mixed-models.
I hope it helps.
Best, Dimitris
---- Dimitris Rizopoulos Ph.D. Student Biostatistical Centre School of Public Health Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium Tel: +32/16/336899 Fax: +32/16/337015 Web: http://www.med.kuleuven.ac.be/biostat/ http://www.student.kuleuven.ac.be/~m0390867/dimitris.htm
----- Original Message ----- From: "Bernardo Rangel Tura" <[EMAIL PROTECTED]>
To: <r-help@stat.math.ethz.ch>
Sent: Thursday, March 31, 2005 11:21 AM
Subject: [R] help im lme()
Hi R people!
I have a doubt in lme(). I use this model:
m2.lme<-lme(log(cmort)~idade+ano,random=~idade|ano,data=dados)
If i use summary I recive this output:
> summary(m2.lme) Linear mixed-effects model fit by REML Data: dados AIC BIC logLik 1139.313 1170.554 -562.6563
Random effects: Formula: ~idade | ano Structure: General positive-definite, Log-Cholesky parametrization StdDev Corr (Intercept) 3.131076e-03 (Intr) idade 3.515018e-05 -0.042 Residual 5.687940e-01
...etc...
I know the value of Residula random effects is m2.lme$sigma but how do I find the value of idade or intercept random effects
Thanks in advance
Bernardo Rangel Tura, MD, MSc National Institute of Cardiology Laranjeiras Rio de Janeiro Brazil
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