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
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