Hello all,
I have a data frame filled with senders and recipients. Some of the senders
have multiple rows with different recipients and I want to merge those
rows. For example I have
a...@email.com b...@email.com
a...@email.com c...@email.com d...@email.com
r...@email.com
Hello all,
I have been experimenting with svymean() and I am confused on what the
output is. The data I have looks like:
*PSU*
* STRATUM*
*WEIGHTS*
* COUNTS*
*1*
1
1
2.0
1
*2*
2
1
1.0
1
*3*
3
1
1.0
1
*4*
3
1
2.5
1
*5*
2
1
1.0
1
Hi all,
I am trying to understand the output of the svydesign function. My question
is, is there documentation on how the probabilities are computer? Or could
someone please explain to me how they are? I have this
d-svydesign(id=~PSU, strata=~STRATUM,weights=~w, data=s, nest=TRUE)
And this
Hello all,
I am trying to understand how svymean is calulated with svydesign.
I have the code:
dstrat1-svydesign(id=~PSU, strata=~STRATUM,weights=~Sample_Weight,
data=subset25k, nest=TRUE)
and I am using svymean to compute the mean.
My main question is how are the sampling probabilities
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