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From |
"Tiago V. Pereira" <tiago.pereira@mbe.bio.br> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: RE: st: How to make a code faster - alternatives to egen var = concat(vars) ?, |

Date |
Thu, 17 Jun 2010 16:47:02 +0300 (BRT) |

Thanks, Antoine! But for each combinations, I want to save a local containing the r(mean). Is it possible to do that using -bysort-? Tiago --------------- Dear statalisters, I am working on a stata code, and I need some advice. I have n categorical variables that assumes values equal to 0, 1 or 2. My objective is to summarize a continuous variable (say, age) by all possible combinations of these categorical variables. For example, suppose I have 5 categorical variables (x1, x2, x3, x4 and x5): sum age if x1==0&x2==0&x3==0&x4==0&x5==0 then sum age if x1==0&x2==0&x3==0&x4==0&x5==1 then sum age if x1==0&x2==0&x3==0&x4==0&x5==2 and so forth. What I am doing is the following: (1) I generate a string of the categorical variables egen combination = concat(x1 x2 x3 x4 x5) (2) convert them to numeric encode combination, gene (y) and loop over the values of the new variable y to summarize the continuous variable forvalues i = 1/`some_max_value' { sum age if y=`i' } This naïve solution works very well for small samples (_N<1000) and small number of categorical variables (5 to 7). But when I need investigate in a larger sample with a larger number of categorical variables, this code is highly inefficient (e.g. slow). Do you have any suggestions to make this procedure faster in larger data sets? Thanks in advance! Tiago * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: How to make a code faster - alternatives to egen var = concat(vars) ?,***From:*Antoine Terracol <terracol@univ-paris1.fr>

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