Re: [R] Creating a weighted sample - Help

[LouiseS]

Hi

Thanks for responses.  The sample I have taken is a random sample from H, I,
J and K.  The further analysis I want to do is all around bad debt rates so
it could be (H/H+I)*100 = Bad rate percentage also population stability
calculations that are all related to credit scoring.  I want to be able to
report back on any variable that I have in my data set based on my factored
counts (A) of 10,000 - so every calculation is based on 10,000 account in
the correct proportions.

Does his help?

Thanks once again
Louise

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[R] Creating a weighted sample - Help

[LouiseS]

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   2,9242.033174
I  1,305   2,4360.535714
J  2,000   2,0920.956023
K   7501,2250.612245


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

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