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From |
Lars Folkestad <lfolkestad@health.sdu.dk> |

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

Subject |
Re: st: summary statistics |

Date |
Tue, 2 Oct 2012 13:39:27 +0200 |

Using preserv // restore prior and after the collapse code would preserve your data and not destroy it - As you say. I must ad i have not tried tabm or tab_chi but i definatly will. Mvh Lars Folkestad Den 01/10/2012 kl. 19.05 skrev "Donald Spady" <dspady@ualberta.ca>: > Thanks to both of you for your comments and alternative approaches. I liked the original in that it does not destroy the data, as collapse would do, however, it is nice to know there are several possible ways of getting what I want. Nick is also correct in that I am not overly fluent in Stata; I have used it for several years, and am comfortable in general, but only with the basics and what I use on a regular basis. > > Don > > On 2012-10-01, at 10:33 AM, Nick Cox <njcoxstata@gmail.com> wrote: > >> Actually, I pointed to _two_ user-written commands that do this. >> >> In general, I agree with Clyde. The trade-off between doing it >> yourself from first principles and finding a suitable user-written >> command (or even an official one) is delicate, and always with a user. >> However, the success of Clyde's approach depends partly on his being >> an experienced user who is fluent in, and feels comfortable with, much >> of Stata. >> >> With a structure this simple, a two-line solution is also competitive. >> >> stack HSS*, into(HSS) clear >> tab _stack HSS >> >> -- although that loses some detail on variable names and labels, and >> so does not qualify as a good solution by itself. >> >> However, the full trade-off needs to take account of various awkward facts: >> >> 1. You might want to do this repeatedly. >> >> 2. You might (almost certainly will) want to go back to your original >> data structure. >> >> 3. You might want to carry weights through the -reshape- too. >> >> As said, I am in agreement, just spelling out some issues. >> >> Nick >> >> On Mon, Oct 1, 2012 at 5:14 PM, Clyde B Schechter >> <clyde.schechter@einstein.yu.edu> wrote: >>> Don Spady was looking for a command that would take variables HSS1-HSS18, each with a discrete 1 to 5 response set and create a table like: >>> >>> Col 1 Col2 Col 3 Col 4 Col5 >>> HSS1 n1 n2 n3 n4 n5 >>> HSS2 n1 n2 n3 n4 n5 >>> HSS3 >>> >>> And Nick Cox pointed him to a user-written command that does this. >>> >>> I would just add that this can also be easily done using a few built-in Stata commands: >>> >>> (I assume there is another variable, called id, which identifies the observations. If not, it can be generated first) >>> >>> reshape long HSS, i(id) j(varnum) >>> collapse (count) Col = id, by(varnum HSS) >>> reshape wide Col, i(varnum) j(HSS) >>> gen variable= "HSS"+string(varnum) >>> list variable Col*, noobs clean >>> >>> >>> I suppose it is a matter of taste which way to do these things. In general, if it is something I do repeatedly, I find the convenience of a single command (which I might write an ado file for myself) worthwhile. But if it's a one-off, it's generally faster to write a few lines of code and also not later be bothered with trying to remember what some unfamiliar command name means. >> >> * >> * 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/ >> > > Donald Spady > > -- > dspady@ualberta.ca > > > > > > * > * 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/

**Follow-Ups**:**Re: st: summary statistics***From:*Donald Spady <dspady@ualberta.ca>

**References**:**st: summary statistics***From:*Clyde B Schechter <clyde.schechter@einstein.yu.edu>

**Re: st: summary statistics***From:*Nick Cox <njcoxstata@gmail.com>

**Re: st: summary statistics***From:*Donald Spady <dspady@ualberta.ca>

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