For quintiles use the cut subcommand for egen, e.g.:
. version
version 7.0
. use bromar
(Marathon data - 1995 across bridges from Funen and West-Jutland)
. egen q5 = cut(age), group(5) label
(241 missing values generated)
. tab q5
q5 | Freq. Percent Cum.
------------+-----------------------------------
16- | 735 19.41 19.41
32- | 725 19.15 38.56
38- | 788 20.81 59.38
44- | 688 18.17 77.55
49- | 850 22.45 100.00
------------+-----------------------------------
Total | 3786 100.00
or for complete labeling of both ends of intervals get the extended cut
(findit cutjl) :
. egen q5i = cutjl(age), group(5) interval
(241 missing values generated)
. tab q5i
Age |
(1996-year |
of birth) | Freq. Percent Cum.
------------+-----------------------------------
16-31 | 735 19.41 19.41
32-37 | 725 19.15 38.56
38-43 | 788 20.81 59.38
44-48 | 688 18.17 77.55
49-84 | 850 22.45 100.00
------------+-----------------------------------
Total | 3786 100.00
Jens M. Lauritsen, Consultant,MD. PhD.
Accident Analysis Group, Odense University Hospital,
Odense, Denmark e-mail: [email protected]
Initiator of EpiData, see www.epidata.dk for DataEntry in windows (EpiInfo
V6 principle)
For news on Epidata, sign on at: www.epidata.dk/php/maillist.php
Phone +45 6541 2293 Mobile +45 2173 2293 fax: +45 6613 6581
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
