AW: st: RE: regression r(103): too many variables

["Martin Weiss" <martin.weiss1@gmx.de>]

<> 

" I strongly suggest you 

set varabbrev off

which will cause most of Martin's sample code to fail, but will make life
simpler in a number of instances."




Kit, 

which sample code are you referring to? Mine
(http://www.stata.com/statalist/archive/2010-02/msg01122.html) works
perfectly with -varabbrev- off:

*************
clear*
set mem 500m
set obs 13700
set matsize 10000

set varabbrev off

foreach var of newlist var1-var2500{
		gen byte `var'=runiform()<.3
}

gen y=rnormal()
reg y var1-var2500
*************

BTW, I consider -g- as an abbreviation for -generate- much worse than
abbreviations for variables, but that`s just me...


HTH
Martin


-----Ursprüngliche Nachricht-----
Von: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Kit Baum
Gesendet: Mittwoch, 24. Februar 2010 17:06
An: statalist@hsphsun2.harvard.edu
Betreff: re: st: RE: regression r(103): too many variables

<>
Paul said

in most other stats programs I've worked with, a single hyphen in a list of
this type (i.e., dum_1_int_1-dum_1_int_96) would be expanded out in logical
sequential fashion (i.e., dum_1_int_1 dum_1_int_2 ...).  But Stata expanded
it out in the physical order in which the variables appeared in the data set



but in Stataland, a hyphenated varlist (help varlist) ALWAYS obeys the order
(help order) of the dataset, and has nothing to do with the names of the
variables encompassed by that range. You can induce the behavior you want by
using -order-, but it is probably safer to use wildcards -- and perhaps even
the more restrictive form of wildcards with ? rather than *.

Another pet peeve of mine involves automatic variable abbreviations. I
strongly suggest you 

set varabbrev off

which will cause most of Martin's sample code to fail, but will make life
simpler in a number of instances.

Kit Baum   |   Boston College Economics & DIW Berlin   |
http://ideas.repec.org/e/pba1.html
                              An Introduction to Stata Programming  |
http://www.stata-press.com/books/isp.html
   An Introduction to Modern Econometrics Using Stata  |
http://www.stata-press.com/books/imeus.html


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