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From | David Bai <db555@mail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: RE: data management questions |
Date | Mon, 23 Aug 2010 21:12:52 -0400 |
Thank you very much, Martin! -----Original Message----- From: Martin Weiss <martin.weiss1@gmx.de> To: statalist@hsphsun2.harvard.edu Sent: Sat, Aug 21, 2010 7:49 am Subject: st: RE: data management questions <> ad (1): *********** clear* inp byte ID int NID 1 100 2 100 3 104 4 102 5 104 end list, noo preserve bys NID: keep if _n==1 drop ID l save mynids, replace restore *********** HTH Martin -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of David Bai Sent: Samstag, 21. August 2010 12:52 To: statalist@hsphsun2.harvard.edu Subject: st: data management questions Dear all, I have two questions regarding data management, and would appreciate it if anybody can help. (1) If I have a datafile like this: ID(individual id) NID(neighborhood id) 1 100 2 100 3 104 4 102 5 104 How can I create a datafile for neighborhood ID variable like this?: NID 100 102 104 (2) Now since I have the complete list of NIDs (suppose there are 100 neighborhoods), I'd like to use this NID file to merge with another data file (dataset Two, which has neighborhood ID variable and time-varying variables. Dataset Two has 200 neighbors) like this: NID year var1 100 1 850 100 2 600 101 1 90 102 1 600 102 2 400 103 1 500 103 2 400 103 3 506I only want to keep the 100 neighborhoods that appear in the NID file,
What syntax I can use to merge the two data files for the 100 neighbors? Thank you very much. * * 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/ * * 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/
* * 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/