On Dec 2, 2011, at 3:55 AM, lincoln wrote:
Thanks.
Anyway, it is not homework and I was not told to do that. My
question has
not been answered yet, I'll try to reformulate it:
Does it make (statistical) sense to resample with replacement in this
situation to get an estimate of the CIs? In case it does, how could
I do it
in R?
Some further details on my real case study:
10 independent samples from a population in ten sessions. Each sample
consists of a number (somehow variable) of random individuals that are
classified as 0 or 1 depending on one specific state (presence or
absence of
a disease).
I can calculate, for each session, the percentage of individuals
diseased
but I have nothing about the CIs, any suggestion?
I do not see much advantage to using resampling in this instance. The
variance of a proportion is not theoretically complicated and you have
introduced no further complicating factors that would call into
question the validity of the estimates you would get from prop.test.
--
David Winsemius, MD
West Hartford, CT
______________________________________________
R-help@r-project.org 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.
