[R-sig-ME] change in variance components depending on scaling of fixed effects
Martin Maechler
maechler at stat.math.ethz.ch
Fri Oct 19 09:23:10 CEST 2007
>>>>> "AH" == Arild Husby <arild.husby at ed.ac.uk>
>>>>> on Thu, 18 Oct 2007 09:53:19 +0100 writes:
AH> Dear all,
AH> I am trying to understand the output from a binomial lmer object and why
AH> the scaling of a fixed effect changes the variance components.
[....................... ]
AH> All help is highly appreciated.
AH> Thanks very much,
AH> Arild Husby
>> sessionInfo()
AH> R version 2.5.0 (2007-04-23)
-----
[.......]
AH> attached base packages:
AH> [1] "stats" "graphics" "grDevices" "utils" "datasets"
AH> "methods" "base"
AH> other attached packages:
AH> lme4 Matrix lattice
AH> "0.99875-2" "0.99875-2" "0.15-11"
---------
Can you upgrade to R 2.5.1
(at least! --- always do upgrade from x.y.0 to x.y.1 !!! )
or better 2.6.0 and then
upgrade.packages() ?
This will upgrade your lme4 to version 0.99875-8 (important!)
and Matrix to 0.999375-3 {also possibly quite important}
Also, (and even alternatively to upgrading)
if you provided a *reproducible* example
[e.g. you could dput(.) part of your data frame, or better
save() it and put the file up for downloading; or use
set.seed() and create random data which exhibits the same "feature"]
"your audience" could at least see if the current versions of
lme4 give the same results or not..
Regards,
Martin Maechler, ETH Zurich
AH> --
AH> Arild Husby
AH> Institute of Evolutionary Biology
AH> Room 413, Ashworth Labs,
AH> King's Buildings,
AH> University of Edinburgh
AH> EH9 3JT, UK
AH> E-mail: arild.husby at ed.ac.uk
AH> web: http://homepages.ed.ac.uk/loeske/arild.html
AH> Tel: +44 (0)131 650 5990
AH> Mob: +44 (0)798 275 0668
AH> _______________________________________________
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