responding
coefficients. However, svyglm() aborts with an error message. Is there a
possibility that svyglm() provides output for coefficients without
singularities like glm()?
Thank you very much,
Sebastian Weirich
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Sebastian Weirich, Dipl.-Psych.
Institut zur Qualitätsentwicklung im Bildungswese
yglm(formula = achievement ~ origin * group, design =
design, return.replicates = FALSE, family = gaussian(link="identity"))
# The output of the conventional glm() function reports singularities
for one coefficient of the interaction
mod3 <- glm(formula = achievement ~ origin * group, dat
Hello,
svyvar from the survey package computes variances (with standard errors)
from survey design objects. Is there any way to compute standard
deviations and their standard errors in a similar manner?
Thanks a lot,
Sebastian
__
R-help@r-project.o
Hello,
probable a simple question, but I’m unaware with it. When plotting something
like levelplot(z1+z1~x*y|g), each table has a subtitle containing variable name
of z1 respectively z2 and the value of g. How can I remove the subtitles?
Thanks a lot,
Sebastian
--
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