On Tue, 10 Apr 2007, Thomas W. Volscho wrote: > Dear List, > I have a dataset that provides sampling weights (National Survey of > Family Growth 2002). I want to produce a cross-tabulation and use the > provided sampling weights to obtain representative population estimates. > (I believe they are simply frequency weights but codebook is > uninformative).
They are almost certainly not simply frequency weights -- the NCHS web page on this survey describes a multistage sampling scheme and gives code examples for survey software using the design features. If you only want point estimates and no intervals or p-values then it doesn't matter what type of weights they are. > I can reproduce results (using this data) that were reported in a recent > journal article, if I use SPSS or STATA--specifying the weight. The "survey" package does analysis of surveys of this sort. Judging from the Stata example at http://www.cdc.gov/nchs/data/nsfg/Ser2_Example1_FINAL.pdf if the data are in a data frame called 'nsfg' you would create a survey design object with dnsfg <- svydesign(id=~SECU_R, weight=~FINALWGT, strata=~SEST, data=nsfg) and then you could get crosstabs with,eg, svytable(~agerx+pill, design=dnsfg) -thomas ______________________________________________ R-help@stat.math.ethz.ch 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.
