st: RE: calculating mean without own observation

[Nick Cox <n.j.cox@durham.ac.uk>]

This is an FAQ. 

FAQ     . . Creating variables recording prop. of the other members of a group
        . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  N. J. Cox
        4/05    How do I create variables summarizing for each
                individual properties of the other members of a
                group?
                http://www.stata.com/support/faqs/data/members.html

Once you know to look for references to (e.g.) "members.html" in the Statalist archive, you can find several related discussions. 

In this case, something like 

egen total = total(value), by(category)
egen n = count(value), by(category)

gen totalMINUSi = total - cond(missing(value), 0, value)
gen meanMINUSi = totalMINUSi / (n - !missing(value))

Incidentally, this cannot be done with a simple -if- precisely because values for other observations are involved in the calculation. But it can be approached directly. 

Nick 
n.j.cox@durham.ac.uk 

Guo Xu

How do I calculate a mean (or any other summary statistic) excluding
the *current* observation?

For example, I have following data:

i      value      category
1     5            1
2     5            1
3     10          1
4      2           2
5      2           2

I would like to calculate the mean for each category (egen value_mean
= mean(value), by(category)), but exclude the i-th observation:
For i=1, for example, the mean value by category 1 would be (5+10)/2.
For i=3, it would be (5+5)/2. For i=4, it would be 2/1.

I guess there must be some simple *if* condition for this
manipulation, but I failed to find it - would be most grateful for
help.


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