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Re: st: Top ten tricks [was: RE: RE: RE: RE: RE: RE: RE: Using postfile]


From   Richard Williams <Richard.A.Williams.5@nd.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Top ten tricks [was: RE: RE: RE: RE: RE: RE: RE: Using postfile]
Date   Fri, 21 May 2004 08:33:14 -0500

At 02:01 PM 5/21/2004 +0100, Nick Cox wrote:
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?
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 similar reasons.

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.


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Richard Williams, Notre Dame Dept of Sociology
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