Dear all,
I want to fit a random effect model with only one random factor. I do not
want to
include the intercept term either.
The model I using now is
lmer(values ~ (1|lot), data=tmp)
The results are as below. How do I take out the intercept term? Or
if this is not possible for the lmer function, is it possible using lme
function in the "nlme" package?
Thank you very much in advance.
Hanna
Linear mixed model fit by REML
Formula: values ~ (1 | lot)
Data: resamp
AIC BIC logLik deviance REMLdev
-14.21 -9.459 10.1 -23.88 -20.21
Random effects:
Groups Name Variance Std.Dev.
lot (Intercept) 0.036077 0.18994
Residual 0.017278 0.13144
Number of obs: 36, groups: lot, 10
Fixed effects:
Estimate Std. Error t value
(Intercept) 99.78693 0.06421 1554
[[alternative HTML version deleted]]
______________________________________________
[email protected] 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.
