There is a variable which isolates those that were born in 1988 and those
with missing values (coded as 88).
85 | 487 3.08 41.93
86 | 526 3.33 45.26
87 | 583 3.69 48.95
88 | 650 4.12 53.07
89 | 525 3.32 56.39
90 | 722 4.57 60.96
91 | 607 3.84 64.81
92 | 610 3.86 68.67
93 | 682 4.32 72.99
94 | 692 4.38 77.37
95 | 700 4.43 81.80
96 | 711 4.50 86.30
97 | 724 4.58 90.89
98 | 638 4.04 94.93
99 | 801 5.07 100.00
------------+-----------------------------------
Total | 15,793 100.00
-----Original Message-----
From: Nick Cox [mailto:[email protected]]
Sent: 27 April 2004 12:28
To: [email protected]
Subject: st: RE: RE: RE: RE: RE: creating age at first birth from birth
history data
I have a substantive query in return, fired
by idle curiosity.
In your data for -year- (below) there is a big peak in 1988.
On another variable, it seems that "88"
was used to code missing, as you excluded
it from tabulation. Is it possible
that the real 88s for -year- (i.e. born in 1988)
have got mixed up with missings (coded 88) ?
Nick
[email protected]
Henry DOCTOR
> Perfect! Your suggestions worked!!
> >
> > I have the following variables:
> >
> > Age of mother, all pregnancies the mother has had (starts
> > with last born and
> > ends with first born), birthday for each child, an indicator
> > variable for
> > the child number which runs from 0 to the last child. So, I
> > want the reverse
> > order for the list of children (first born to last born).
> >
> >
> > tab year (year child was born)
> >
> > year child |
> > born | Freq. Percent Cum.
> > ------------+-----------------------------------
snip
> > 73 | 112 0.66 17.11
> > 74 | 109 0.64 17.76
> > 75 | 151 0.89 18.65
> > 76 | 174 1.03 19.67
> > 77 | 207 1.22 20.90
> > 78 | 256 1.51 22.41
> > 79 | 253 1.49 23.90
> > 80 | 399 2.35 26.25
> > 81 | 348 2.05 28.31
> > 82 | 347 2.05 30.35
> > 83 | 481 2.84 33.19
> > 84 | 509 3.00 36.19
> > 85 | 487 2.87 39.07
> > 86 | 526 3.10 42.17
> > 87 | 583 3.44 45.61
> > 88 | 1,806 10.65 56.26
> > 89 | 525 3.10 59.36
> > 90 | 722 4.26 63.62
> > 91 | 608 3.59 67.21
> > 92 | 610 3.60 70.80
> > 93 | 682 4.02 74.83
> > 94 | 693 4.09 78.92
> > 95 | 700 4.13 83.05
> > 96 | 711 4.19 87.24
> > 97 | 724 4.27 91.51
> > 98 | 638 3.76 95.27
> > 99 | 801 4.73 100.00
> > ------------+-----------------------------------
> > Total | 16,951 100.00
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