Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Christopher Baum <kit.baum@bc.edu> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
re:Re: st: Normalize Variables by s.d. (programmatically) |

Date |
Thu, 22 Dec 2011 09:12:48 -0500 |

<> Ryan said Yes I found regress option beta in my searches; however, as noted I am using xtreg. Further I would like only to divide by std but not subtract the mean, and I would like to leave dummies unnormalized. The real problem with my program below is that I am trying to dynamically allocate backup variables for original values, and operate on the original variable names. The reasoning for this is that I didn't want my regression output cluttered with temp variable tags e.g. std_`varname'. However this made my program much more complicated because I couldn't rely on stata's native handling of varlists, wildcards, and difference operators, and I would always have to test the existence of variables. A big mess. I got it working quite nicely (as below) by simply generating temporary variables and using some sed magic to clean up my regression output. However, the program given quickly reaches the string limit of 244 characters since I am fully expanding all wildcards. By shortening my varnames (and relying on additional sed magic) I stay within the limit and am able to run my current regressions of interest, but the program is not robust. I looked at -center-. I don't think that is what I want unless there is something special in byable that I don't yet understand. I think my real question is, how do I efficiently operate on the observations that would be included in a regression (e.g. that are not missing)? I test if !missing(comma separated varlist). The only other way I can think of is to run the regression twice; discard the first and use e(sample) for the second. Is there a better way? Thanks for your feedback. Maybe something like this (does not deal with dummies, but that shouldn't be a difficult addition): ------------------ prog drop _all prog stdize syntax varlist(ts) [if] [in] [, *] tsunab vl: `varlist' marksample touse tempvar rs qui g `rs' = 0 if `touse' foreach w of local vl { qui replace `rs' = `rs' + `w' if `touse' } preserve foreach w of local vl { qui summ `w' if `touse' & !mi(`rs') tempvar ww qui g `ww' = `w' / r(sd) if `touse' & !mi(`rs') loc neww: subinstr loc w "." "_" rename `ww' _`neww' loc vl2 "`vl2' _`neww'" } xtreg `vl2', `options' restore end --------------------- With webuse grunfeld, this handles something like stdize invest D.mvalue L(1/2).kstock if company < 7, fe with no problem. Cheers Kit 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 * * 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/

- Prev by Date:
**Re: st: Normalize Variables by s.d. (programmatically)** - Next by Date:
**Re: st: Normalize Variables by s.d. (programmatically)** - Previous by thread:
**Re: st: Normalize Variables by s.d. (programmatically)** - Next by thread:
**Re: st: Normalize Variables by s.d. (programmatically)** - Index(es):