I am not aware of any such.
One strategy is to -reshape-, use -egen, skew()-
and -reshape- back again.
Another is to do something like this, assuming
the number of variables concerned to be less
than the number of observations.
gen holddata = .
gen rskew = .
local nvars : word count <spelled out variable list>
tokenize <spelled out variable list>
qui forval i = 1/`=_N' {
forval j = 1/`nvars' {
replace holddata = ``j''[`i'] in `j'
}
sum holddata, detail
replace rskew = `r(skewness)' in `i'
}
Nick
[email protected]
Mark Clatworthy
> Does anyone know if there is a row function which will
> generate the skewness of
> a variable across observations, sort of equivalent to the
> rsd() row standard
> deviation under egen?
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