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From |
Nick Cox <njcoxstata@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Need help with working across variables |

Date |
Sun, 10 Feb 2013 10:12:10 +0000 |

Here is another way to do it: gen x = . forval j = 1/4 { replace x = var`j' if missing(x) & inlist(var`j', 1, 2) replace x = . if !missing(x) & var`j' != x } So, we initialise to missing; change our minds at the first instance of 1 or 2; but change it back again if we see a different value in the same observation. For a review of working rowwise, see SJ-9-1 pr0046 . . . . . . . . . . . . . . . . . . . Speaking Stata: Rowwise (help rowsort, rowranks if installed) . . . . . . . . . . . N. J. Cox Q1/09 SJ 9(1):137--157 shows how to exploit functions, egen functions, and Mata for working rowwise; rowsort and rowranks are introduced .pdf at http://www.stata-journal.com/sjpdf.html?articlenum=pr0046 Nick On Sun, Feb 10, 2013 at 5:34 AM, Cory Smith <corybsmith@gmail.com> wrote: > Too complicated in my opinion. > > gen x = 0 > > egen Vmin = rowmin(var1 - var4) > egen Vmax = rowmax(var1 - var4) > > replace x = 1 if Vmin == 1 & Vmax == 1 & Vmin != . > replace x = 2 if Vmin == 2 & Vmax == 2 & Vmin != . > > Actually, some of the terms in the above are unnecessary but I kept > them in for clarity. > > On Sun, Feb 10, 2013 at 12:27 AM, Alison Connor <alison.connor@gmail.com> wrote: >> Hi Michael, >> >> There might be a more efficient way to do it, but if you have egenmore >> you can do: >> >> egen x=rall(var1 var2 var3 var4), c(@==1) >> >> This will be 1 if all non-missing variables are 1, and 0 otherwise. If >> you only have two values for your variables, then you can run this >> command again, and then merge the two into a third variable: >> >> egen x1=rall(var1 var2 var3 var4), c(@==1) >> egen x2=rall(var1 var2 var3 var4), c(@==2) >> >> gen x=0 >> replace x=1 if x1==1 >> replace x=2 if x2==1 >> >> If you are going to do this for multiple values, then you can create a loop: >> >> gen x=0 >> forvalues i=1/2 { >> egen x`i'=rall(var1 var2 var3 var4), c(@==`i') >> replace x=`i' if x`i'==1 >> drop x`i' >> } On Sun, Feb 10, 2013 at 10:41 AM, Michael Stewart <michaelstewartresearch@gmail.com> wrote: >>> Here is my data format and my question: >>> id var1 var2 var3 var4 >>> 1 1 1 1 . >>> 2 1 1 1 1 >>> 3 1 2 1 . >>> 4 2 2 2 2 >>> 5 1 1 1 1 >>> 6 1 2 . . >>> 7 2 1 2 . >>> >>> I am trying to generate a new variable x =1 if all non missings values >>> for the variables(per observation) are equal to 1 and x =2 if all non >>> missings values for the variables(per observation) are equal to 2. I >>> tried to do foreach loop like >>> >>> gen x=0 >>> foreach x in var1 var2 var3 var4{ >>> replace x=1 if `x'=1 >>> } >>> but it doesnt seem to do the trick >>> >>> I am specifically interested in to change x =1 if all nonmissign >>> values for an observation are equal to one >>> For example: I would like to replace x=1 for id=1 but not for id 3 >>> Similarly, I would like to replace x=2 if all nom missing values for >>> an observation are equal to two. > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Need help with working across variables***From:*Nick Cox <njcoxstata@gmail.com>

**References**:**st: Need help with working across variables***From:*Michael Stewart <michaelstewartresearch@gmail.com>

**Re: st: Need help with working across variables***From:*Alison Connor <alison.connor@gmail.com>

**Re: st: Need help with working across variables***From:*Cory Smith <corybsmith@gmail.com>

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