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Re: st: quintiles


From   "Jens M. Lauritsen" <JM.Lauritsen@dadlnet.dk>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: quintiles
Date   Fri, 28 Feb 2003 20:19:18 +0100

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: JM.Lauritsen@dadlnet.dk
Initiator of EpiData, see www.epidata.dk for DataEntry in windows (EpiInfo
V6 principle)
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