Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down on April 23, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Donald Spady <dspady@ualberta.ca> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: summary statistics |

Date |
Tue, 2 Oct 2012 13:59:21 -0600 |

Lars Thanks for your comment. I was unaware of the preserve // restore option. I tend not to use collapse and that is probably the reason. Don On 2012-10-02, at 5:39 AM, Lars Folkestad <lfolkestad@health.sdu.dk> wrote: > 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/ > 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/

**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>

**Re: st: summary statistics***From:*Lars Folkestad <lfolkestad@health.sdu.dk>

- Prev by Date:
**Re: st: repeated factor ANOVA** - Next by Date:
**st: Quantile Regression** - Previous by thread:
**Re: st: summary statistics** - Next by thread:
**Re: st: dynamic graphs** - Index(es):