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| From | Conor Hughes <cbhughes@uchicago.edu> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: Re: Combining multiple observations into one observation with multiple variables |
| Date | Wed, 30 Jun 2010 16:11:14 +0700 |
Hi Sven, Thanks for your reply, that did the trick perfectly. I'd never heard of the --reshape-- command before. Thanks again, Conor 2010/6/30 Sven-Oliver Spieß <svenoliverspiess@gmail.com>: > Hi Conor > > > Generally 'reshape' would do that. Does the following example point in > the right direction? > > =================================== > input id char > 1 1 > 1 3 > 1 7 > 1 11 > 2 1 > 2 8 > 3 2 > 3 7 > 3 13 > end > > bysort id (char): gen count = _n > reshape wide char, i(id) j(count) > list > =================================== > > > > Best, > Sven-Oliver > > > On Wed, Jun 30, 2010 at 09:06, Conor Hughes <cbhughes@uchicago.edu> wrote: >> Sorry, my tables got smushed: >> Dataset1 >> ---------------------------------------- >> household id | individual id >> ---------------------------------------- >> 1 | 1 >> 1 | 2 >> 1 | 3 >> 2 | 1 >> 2 | 2 >> 3 | 1 >> 3 | 2 >> >> Dataset 2 >> ----------------------------------------------------------- >> household id | household characteristic id >> ------------------------------------------------------------ >> 1 | 1 >> 1 | 3 >> 1 | 7 >> 1 | 11 >> 2 | 1 >> 2 | 8 >> 3 | 2 >> 3 | 7 >> 3 | 13 >> >> >> On Wed, Jun 30, 2010 at 1:40 PM, Conor Hughes <cbhughes@uchicago.edu> wrote: >>> Hi All, >>> I have a couple of survey datasets that I need to merge, but they're >>> organized in an inconvenient way. The first is organized by >>> household, and individuals within the household. The second is only >>> organized by household. I'd like to do a many-to-one merge on >>> household, so as to preserve the individual id's. However, in the >>> second dataset, rather than adding household characteristics as >>> variables, it adds them as observations, e.g.: >>> >>> Dataset 1 Dataset 2 >>> ------------------------------------- >>> ----------------------------------------------------------- >>> household id | individual id household id | >>> household characteristic id >>> ------------------------------------- >>> ------------------------------------------------------------ >>> 1 | 1 >>> 1 | 1 >>> 1 | 2 >>> 1 | 3 >>> 1 | 3 >>> 1 | 7 >>> 2 | 1 >>> 1 | 11 >>> 2 | 2 >>> 2 | 1 >>> 3 | 1 >>> 2 | 8 >>> 3 | 2 >>> 3 | 2 >>> >>> 3 | 7 >>> >>> 3 | 13 >>> I'd prefer, in the second dataset, to have one observation for each >>> household, including household characteristics as dummy variables. As >>> it is, the only way to get them together is via many-to-many merge, >>> which is foolish and doesn't work well, giving an output like >>> ------------------------------------------------------------------------------- >>> household id | individual id | household characteristic id >>> ------------------------------------------------------------------------------- >>> 1 | 1 | 1 >>> 1 | 2 | 3 >>> 1 | 3 | 7 >>> 1 | 3 | 11 >>> 2 | 1 | 1 >>> 2 | 2 | 8 >>> 3 | 1 | 2 >>> 3 | 2 | 7 >>> 3 | 2 | 13 >>> Which messes up the the first dataset, since it creates repeat >>> observations of individuals. Is there a graceful way of the changing >>> the multiple observations per household in the second dataset to one >>> observation per household with characteristics represented as dummy >>> variables? Any help would be greatly appreciated. And please let me >>> know if I've described the situation poorly and you'd like >>> clarification. >>> >>> Cheers, >>> Conor >>> >> >> >> >> -- >> Conor Hughes >> Mathematics and Economics >> University of Chicago 2011 >> >> * >> * 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/ > -- Conor Hughes Mathematics and Economics University of Chicago 2011 * * 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/