[R] Creating a weighted sample - Help

[P Ehlers]

LouiseS wrote:
> 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?

I don't know what you mean by "all further analysis",
but if you want weighted mean, variance, quantile, have
a look at ?wtd.mean in the Hmisc package. Just use your
A/B values in a weights vector.

Peter Ehlers

> 
> 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 at 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.