Here is one of several alternatives.
generate p1=.
egen group = group(ptnum) if !missing(bperwk_, wk)
summarize group, meanonly
forval i = 1/`r(max)' {
regress bperwk_ wk if group == `i'
predict p
replace p1=p if group == `i'
drop p
}
That sets the missings on one side.
See also:
FAQ . . . . . . . . . . Making foreach go through all values of a
variable
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N.
J. Cox
8/05 Is there a way to tell Stata to try all values of a
particular variable in a foreach statement without
specifying them?
http://www.stata.com/support/faqs/data/foreach.html
Despite the reference to -foreach- the FAQ is still pertinent.
Nick
Martin Weiss wrote:
*************
capture
*************
You could put it in front of individual commands, or the entire
-forvalues- loop.
B. Timothy Walsh
I am attempting to generate predictions from regressions performed for
each of a longish list of individuals. The problem is that, for some
individuals, there are no dependent variable data (entries are missing),
so the regression attempt fails. The problem is that the forvalues loop
then exits. I would like to somehow "skip" these individuals. Loop
seems to work fine if there are enough data to perform a regression.
I'd be grateful for any suggestions.
Here's the code:
generate p1=.
forvalues i = 1/50 { //50 individuals
regress bperwk_ wk if ptnum == `i'
predict p
replace p1=p if ptnum == `i'
drop p
}
I'm pretty much a Stata novice. So, I apologize if I am missing
something obvious. Using version 10.1.
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