Hi I'm new to R and most things I want to do I can do but I'm stuck on how to weight a sample. I have had a look through the post but I can't find anything that addresses my specific problem. I am wanting to scale up a sample which has been taken based on a single variable (perf) which has 4 attributes H,I, J and K. The make up of the sample is shown below:-
Perf Factored Count (A) Raw Count (B) Factor (A/B) H 5,945 2,924 2.033174 I 1,305 2,436 0.535714 J 2,000 2,092 0.956023 K 750 1,225 0.612245 I then want to produce all further analysis based on this factored sample. I can produce a weighted sample in SAS using the weight function which I have shown below wt=0; if perf='H' then wt=2.033174; if perf='I ' then wt=0.535714; if perf='J ' then wt=0.956023; if perf='K ' then wt=0.612245; proc freq data=DD.new; tables resdstat; weight wt; run; Does anyone know how to reproduce this in R? Thanks very much -- View this message in context: http://r.789695.n4.nabble.com/Creating-a-weighted-sample-Help-tp3331842p3331842.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.