that your function would
be even more useful if it was more alike lm or glm (some time in the
future perhaps). For now, one question: How do I calculate the correct
R-squared for models fitted with MiMa?
Thanks
Christian Gold
University of Bergen
www.uib.no/people/cgo022
Dear Wolfgang
Thanks for your prompt and clear response concerning the R^2.
You write:
Note that the mima function does nothing else but fit the model with
weighted least squares using those weights. So, you could actually use
lm(y ~ x1 + ... + xp, weights=w) and you should get the exact same
message.
My question is, what method *should* be used? Using summary does not
give me the result I want, because it shows the significance of each
combination of factor *levels*, rather than factors, which can quickly
become very hard to interpret.
Many thanks for your input!
Christian Gold
. However, this is not really satisfying.
Does anyone know a possible solution to this problem?
Many thanks
Christian
--
Dr. Christian Gold, PhD
http://www.hisf.no/~chrisgol
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https
A big thank you to all those of you who helped me with this problem. I really
appreciated your advice!
Cheers,
Christian
--
Dr. Christian Gold, PhD
http://www.hisf.no/~chrisgol
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~ time * group + Error(subject/(time * group)) ) )
This gives me yet another result.
So I am confused. Which one should I use?
Thanks
Christian
--
Dr. Christian Gold, PhD
http://www.hisf.no/~chrisgol
__
R-help
Dear all,
my apologies if I am posting a silly question - but I couldn't find any
helpful information on this elswhere.
In the R FAQ, version 1.8-1, there is a section 5.2 How can add-on
packages be installed?, but it only gives information for Unix users.
How can I install an add-on package
Dear all,
thanks very much for your quick and helpful response! It tought me again the
old lesson that one should look for simple solutions first, before looking
for more complicated ones...
Thanks
Christian
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