Displaying 3 results from an estimated 3 matches for "popage".
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poage
2013 Jan 03
1
Survey package help with svystandardize
...e Male 0.2277632725 0.2097154285 0.2468790907
Female Female 0.1486524831 0.1349832066 0.1634444481
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R Code:
sample.brfss <- svydesign(id=~brfss.2011$SEQNO, strata=~brfss.2011$ststr,
weights=~brfss.2011$LLCPWT, data=brfss.2011, nest=T)
popage <- c(0.128810, 0.182648, 0.219077, 0.299194, 0.170271)
options("survey.lonely.psu"="adjust")
testing_dataset <- subset(sample.brfss, (!is.na(agegr5) & !is.na(sex) & !
is.na(rfsmok)))
stdes<-svystandardize(testing_dataset, by=~agegr5, over=~sex,
population=popage...
2012 Aug 10
1
Direct Method Age-Adjustment to Complex Survey Data
Hi everyone, my apologies in advance if I'm overlooking something simple in
this question. I am trying to use R's survey package to make a direct
method age-adjustment to some complex survey data. I have played with
postStratify, calibrate, rake, and simply multiplying the base weights by
the correct proportions - nothing seems to hit the published numbers on the
nose.
I am trying to
2012 Apr 23
2
Problem extracting enough coefs from gam (mgcv package)
Dear useRs,
I have used using the excellent mgcv package (version 1.7-12) to
create a generalized additive model (gam) including random effects -
represented with s(...,bs="re") - on the basis of dialect data.
My model contains two random-effect factors (Word and Key - the latter
representing a speaker) and I have added both random intercepts and
various random slopes for these