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st: RE: programming with stata,


From   "Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: programming with stata,
Date   Mon, 5 May 2008 08:56:04 -0700

One item that has not been discussed is the cost of learning a new
package.  If it takes a lot of time (define 'lot'?) it may not be worth
it...

Tony

Peter A. Lachenbruch
Department of Public Health
Oregon State University
Corvallis, OR 97330
Phone: 541-737-3832
FAX: 541-737-4001


-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Tunga
Kantarci
Sent: Monday, May 05, 2008 8:52 AM
To: statalist@hsphsun2.harvard.edu
Subject: st: programming with stata,

Thanks for all the comments.
I think I will learn Mata, given said that the transition costs to other
software are modest.
But today, you can imagine that it is not an easy decision.
There lies attractive alternatives like R, or as discussed Ox.

A strong reason to choose Mata over Ox might be the large user base. 
Another might be the combination of higher and lower level languages, 
for which their knowledge, I expect, to spill over each other.  

But still, it may be hard to predict which software will be more widely
used
in future.
I don't know how the market evolves among these softwares but I may
imagine
that some languages will
wear out, as Fortran and now Gauss seem to be doing so (But I should
speak
loosely, because I don't know much).

What would be your prediction?



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