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st: RV: RE: Sum over all possible combinations
Thanks to Nick and to Sebastian for their initial responses to my query I am
afraid, however, that both responses, do not fully solve the problem I need
to tackle
In the case of Nick's comment (that the Sum of absolute differences over all
possible combinations is related to the gini coefficient and to lmoment
indicators): is true. However since I need to reweight each absolute
difference by a somewhat complex weighting scheme (I did not posted the
weights to avoid adding complexities to my query), the shortcut suggested by
Nick would not work in my case.
The strategy proposed by Sebastian does work:
bys group: gen g_i=_n
tempfile join_file
preserve
ren y_i y_k
save `join_file', replace
restore
joinby group using `join_file', unmatched(none)
bys group: egen sum_dy = sum(abs(y_i - y_k))
bys group g_i: keep if _n==1
However it only works for relatively small data sets. Very rapidly the
strategy eats all my memory since it needs to save in memory a data base
containing all possible combinations.
Giving this let me ask if somebody will know an alternative to Sebastian
strategy that will not require this intermediate step. Alternatively, will
the use of mata will allow me to get around this problem.
thanks in advance!
Julio
-----Mensaje original-----
De: [email protected]
[mailto:[email protected]] En nombre de Nick Cox
Enviado el: Domingo, 22 de Julio de 2007 12:41 p.m.
Para: [email protected]
Asunto: st: RE: Sum over all possible combinations
This sounds like
number in group * Gini mean difference * 2
As the second L-moment is
Gini mean difference / 2
-lmoments- from SSC will get you most of the way there.
For example,
lmoments varname, by(group) gen(n=n sad=l2) replace sad = 4 * n * l2
Check this out with hand-calculations for a toy example.
Nick
[email protected]
Julio E
I am interested in computing the sum of the absolute value of all
possible differences within a group of my sample.
Suppose that the variable "group" denotes the variable indicating the
group to which an individual belongs and Y is an outcome variable.
I am interested
in computing
sum of abs (Yi-Yj) for all i and j belonging to group K
My programming skills are almost none. Can somebody help me out
regarding an efficient way of computing such statistic?
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