On Tue, 2 Dec 2008, Jourdan Gold wrote:
Hello, My question likely got buried so I am reposting it in the hopes
that someone has an answer. I have thought more about the question and
modified my question. I hope tha
But apparently, you have not "read the posting guide
http://www.R-project.org/posting-guide.html and provide[d] commented,
minimal, self-contained, reproducible code."
Still see
?split
?mapply
which likely will address you need.
Study the examples, and if that doesn't help, then come back with
_reproducible_ code, i.e. something we can run rather than merely stare
at.
HTH,
Chuck
my specific question is:
I am attempting to create a bootstrap procedure for a finite sample using the
theory of Rao and Wu, JASA (1988) that replicates within each strata (h) n_h -
1 times. To this end, I require a different sample size for each stratum.
Unfortunately, it appears that the sample command which is used to obtain my
resamples only allows a scalar for the sample size. i.e it does not currently
work with a vector.
Does any one have any suggestions as to how to get around this or if this is
not possible, if there is another way to accomplish what I want to do. Perhaps,
tapply is not the best way to go about getting what I want. if so what would
all you strong programmers reccommend instead. I am thinking that perhaps loops
may be the only way to go.
raoboot <- function (datavar, statavar, weight, nboot, ciqntl, ciqntu)
{
i <- 1
sdatavar <- sort(datavar)
sstratavar <- sort(statavar)
sweight <- sort(weight)
sdatavarwght <- sdatavar*sweight
# stramn <- tapply(sdatavar, sstratavar, mean)
meanvect <- rep(0, times = nboot)
stratasize <- tapply(sdatavarwght, sstratavar, length)
stratasizemone <- stratasize -1
while (i < nboot)
{ #vector of resampled observations
vectobsrestemp <- tapply(sdatavarwght, sstratavar, sample,
replace = T, size = stratasizemone)
vectobsres <- unlist(vectobsrestemp)
meanvect[i] <- mean(vectobsres)
i <- i + 1
}
repvectboot <- rep(mean(meanvect), times = i)
vb <- sum((repvectboot - meanvect)^2)/(i -1)
lwrbndmnp <- quantile(meanvect, ciqntl)
uppbndmnp <- quantile(meanvect, ciqntu)
vb
}
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Charles C. Berry (858) 534-2098
Dept of Family/Preventive Medicine
E mailto:[EMAIL PROTECTED] UC San Diego
http://famprevmed.ucsd.edu/faculty/cberry/ La Jolla, San Diego 92093-0901
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
