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
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
--
Sebastian Weirich, Dipl.-Psych.
Institut zur Qualitätsentwicklung im Bildungswese
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
--
Ist Ihr Browser Vista-
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