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From |
Michael Stewart <michaelstewartresearch@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

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

Date |
Sun, 10 Feb 2013 00:53:21 -0500 |

Dear Cory, This works, Thanks a lot on the same lines have another question id var 1 2 1 2 1 3 1 2 2 1 2 1 2 1 2 . 2 1 3 1 3 2 3 4 How do I check of all(nonmissing) observations for a particular id are the same thanks Mike On Sun, Feb 10, 2013 at 12:34 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' >> } >> >> ~Alison >> >> >> On Sun, Feb 10, 2013 at 10:41 AM, Michael Stewart >> <michaelstewartresearch@gmail.com> wrote: >>> >>> HI , >>> 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. >>> >>> -- >>> Thank you , >>> Yours Sincerely, >>> Mike. >>> * >>> * 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/ >> * >> * 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/ > * > * 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/ -- Thank you , Yours Sincerely, Mike. * * 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:*Alison Connor <alison.connor@gmail.com>

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