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Re: st: Top ten tricks [was: RE: RE: RE: RE: RE: RE: RE: Using postfile]
At 02:01 PM 5/21/2004 +0100, Nick Cox wrote:
I very much like -predict-. I especially like that it can be run on
something other than the estimation sample. Indeed, I sometimes
temporarily wipe out the "real" data, type in some hypothetical values, run
-predict-, and then restore the original data. This can be quite useful
for making things like logistic regression more tangible, where it is hard
to see what impact variables actually have. I also like -adjust- for
That leads to me to ask a question: which would
we nominate as (say) the top ten tricks which
are the deepest and most Stataish features
in what we use? What is _both_ simple _and_ deep?
What leads to great results with at most a few
lines of code?
To do the equivalent in SPSS, I sometimes have to run the regression, and
then type up a compute command based on the results. Much more awkward.
I don't know if it should be considered a "trick", but I like the
programmability of Stata compared to SPSS.
Common to all of the above is the way Stata stores results in memory, again
something you won't see in SPSS.
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
WWW (personal): http://www.nd.edu/~rwilliam
WWW (department): http://www.nd.edu/~soc
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