> -----Original Message-----

> From:

[hidden email] [mailto:

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> On Behalf Of P Ehlers

> Sent: Wednesday, March 02, 2011 10:29 PM

> To: LouiseS

> Cc:

[hidden email]
> Subject: Re: [R] Creating a weighted sample - Help

>

> 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

>

You haven't told us how you obtained these data that you want to weight, but if you used some kind of non-SRS sampling plan (e.g. stratified, or cluster sample) then you should look at the survey package.

Dan

Daniel Nordlund

Bothell, WA USA

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