See also
SJ-7-2 dm0030 . . . . . . . . . . Stata tip 44: Get a handle on your
sample
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
B. Jann
Q2/07 SJ 7(2):266--267 (no
commands)
tip on how to keep track of the observations that make
up your estimation sample
Nick
[email protected]
John Antonakis
Dear Martin and Richard:
Great!
-if e(sample)-
......does the trick!
By table, I wanted to table the frequencies of the categorical
predictors, i.e.,
table y x z if e(sample), row col sc
Now I get the same number of observations from the table as I did in the
logistic.
On 04.10.2009 21:21, Martin Weiss wrote:
> Just condition on -e(sample)-. I am not quite sure what "table the
results"
> is supposed to mean, though.
>
>
> *************
>
> vers 10.1
>
> clear*
> set obs 150
>
> gen x1=26+int(27*runiform())
> gen x2=runiform()<.48
>
> gen byte draw = /*
> */ runiform() < /*
> */ invlogit(1+.02*x1+.3*x2)
>
> logistic draw x*
>
> tempvar tem
> gen `tem'=runiform()
> sort `tem'
>
> drop in 121/150
>
> logistic draw x*
>
> table draw if e(sample), /*
> */ c(freq mean x1 mean x2)
> *************
John Antonakis
> Suppose I run a model using logistic on a data set with 150
observations:
>
> logistic y x z q r
>
> Now, suppose that because of listwise, the number of observations in
the
> logistic model are 120.
>
> How would I table the results (using say only variable x and z) based
> ONLY on the data from the logistic model (i.e., the listwise sample)
and
> not the whole sample ?
>
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