Displaying 12 results from an estimated 12 matches similar to: "return.replicates in survey pkg"
2007 Sep 06
3
Survey package
Good afternoon!
I'm trying to use the Survey package for a stratified sample which has 4 criteria on which the stratification is based. I would like to get the corrected weights and for every element i get a weight of 1
E.g: tipping
design <- svydesign (id=~1, strata= ~regiune + size_loc + age_rec_hhh + size_hh, data= tabel)
and then weights(design)
gives
2011 Mar 07
1
Risk differences with survey package
I'm trying to use the survey package to calculate a risk difference with
confidence interval for binge drinking between sexes. Variables are
X_RFBING2 (Yes, No) and SEX. Both are factors. I can get the group
prevalences easily enough with
result <- svyby(~X_RFBING2, ~SEX, la04.svy, svymean, na.rm = TRUE)
and then extract components from the svyby object with SE() and coef() to
do the
2006 Apr 11
4
Bootstrap and Jackknife Bias using Survey Package
Dear R users,
I?m student of Master in Statistic and Data analysis, in New University of Lisbon. And now i?m writting my dissertation in variance estimation.So i?m using Survey Package to compute the principal estimators and theirs variances.
My data is from Incoming and Expendire Survey. This is stratified Multi-stage Survey care out by National Statistic Institute of Mozambique. My domain of
2010 Mar 10
1
Strange result in survey package: svyvar
Hi R users,
I'm using the survey package to calculate summary statistics for a large
health survey (the Demographic and Health Survey for Honduras, 2006), and
when I try to calculate the variances for several variables, I get negative
numbers. I thought it may be my data, so I ran the example on the help
page:
data(api)
## one-stage cluster sample
dclus1<-svydesign(id=~dnum, weights=~pw,
2012 Oct 18
3
svyplot and svysmooth with hexbin
Hi all-
So sorry to bother you all with something pretty basic.
I am trying to add the lines method output from svysmooth to a svyplot with style="grayhex". However, the line either appears in the wrong place or if I am running in R Studio it causes the system to crash.
I know this is something to do with Lattice graphics, but for the life of me I can not figure out how. Dr. Lumley
2009 Mar 11
1
CI from svyquantile in survey package
I am having trouble understanding (i.e. getting) confidence intervals from
the survey package. I am using R version 2.8.1 (2008-12-22) and survey
package (3.11-2) on FC7 linux. To simplify my question I use an example from
that package:
R> data(api)
R> dclus1<-svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc)
R> (tst <- svyby(~api99, ~stype,
2012 Oct 16
1
Package survey: Compute standard deviations from complex survey designs
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
2009 Nov 02
2
"object not found" within function
Hi,
I am trying to write a function to compute many cross-tabulations with the -svytable- command. Here is a simplified example of the structure of my code (adapted from the -svytable- help file):
data(api)
func.example<-function(variable){
dclus1<-svydesign(id=~1, weights=~pw,data=apiclus1, fpc=~fpc)
svytable(~ variable, dclus1)
}
When I call this function with:
2011 Oct 24
4
Problem with svyvar in survey package
I am facing a problem with a function in survey package. The function svyvar
gives the estimated population variance from a given sampling scheme. I am
working with a data having more than four continuous variables. In order to
have have population total for all those cont. variables I have written in
the following format
svyvar(~var1+var2+var3+var4+var5+var6,data) ; var1,var2,...,var6 are 6
2016 Apr 30
0
Unexpected scores from weighted PCA with svyprcomp()
Hello!
I'd like to create an assets-based economic indicator using data from a
national household survey. The economic indicator is to be the first
principal component from a principal components analysis, which (given
the source of the data) I believe should take in consideration the
sampling weights of the observations. After running the PCA with
svyprcomp(), from the survey package, I
2010 Aug 18
1
svyquantile w/ svyby is returning an error
svymean w/ svyby is working for me...
> svyby(~visitcnt, ~agegrp3.f, svymean, design=svydes)
agegrp3.f visitcnt se.visitcnt
18-44 18-44 8.755552 0.4953235
45-64 45-64 10.131555 0.5347806
65+ 65+ 9.588802 0.4323629
svyquantile is working for me...
> svyquantile(~visitcnt, quantiles=c(.25, .5, .75), ties="rounded", design=svydes)
0.25
2006 Apr 22
1
svyby example returns error
I get error trying to run examples from 'svyby' help page (?svyby in
package "Survey"):
# code
data(api)
dclus1<-svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc)
svyby(~api99, ~stype, dclus1, svymean)
# error message
> Error in match.arg(vartype, several.ok = TRUE) :
unused argument(s) (several.ok ...)
Is this a version problem? I'm running R