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From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

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

Subject |
st: RE: reshape question |

Date |
Fri, 15 Nov 2002 17:38:47 -0000 |

Traci A Schlesinger > > I have census data that is organized so that there is an > observation for each > race-sex-year category in a state. In other words, there > is one observation for > white men in Alabama in 1981, one for white women in > Alabama 1981, etc., etc. > Further, there are separate variables for several age > groups. The data looks like > this. > > Fips Year Race Sex age04 age59 . . . > age8084 age8500 > 1 1 1 1 101151 102545 > 12032 > 12032 > > where fips are state fips codes, year is the last digit in > the year (the data only > spans 1981 to 1989), race is a categorical variable, sex a > dummy, and the number > in age04 is the number of (in this case) white boys aged 0 > - 4 in Alabama in 1981 > (the number in age8500 is the number of white men over 85 > in Alabama in 1981). > > What i want is to reshape the age long, so that i have an > observation for each > individual in the sample. Thus, I would have 101151 > observations of white men in > Alabama in 1981. > > i tried: > > reshape long age, i( fips year race sex) > > but this does not work. it creates an age variable that > has the values that were > in each age variable, rather than an observation for each > of the individuals > counted in each age group. of course, this means the race > and sex counts are also > not correct. How do i get what I am looking for? Do i > need to generate a > different age variable first? Any advise would be appreciated! > You're most of the way there. First, when I tried this, I had to go . l Fips Year Race Sex age04 age59 age8084 age8500 1. 1 1 1 1 101151 102545 12032 12032 . reshape long age, i( Fips Year Race Sex) string because of a problem documented at http://www.stata.com/support/faqs/data/reshape3.html namely "On occasion, people use numeric suffixes with leading zeros, such as 01, 02, and so forth. -reshape- will understand these properly only if they are declared as string." Anyway, the result is . l Fips Year Race Sex _j age 1. 1 1 1 1 04 101151 2. 1 1 1 1 59 102545 3. 1 1 1 1 8084 12032 4. 1 1 1 1 8500 12032 The problem is just one of names, and as you say -age- is really frequency and -- also -- _j is really -age-. To get to where you want to be, it is now an -expand- problem. -reshape- worked as advertised, and had no way of knowing that you also wanted to -expand-. . expand age . drop age . rename _j age < clean up age> except that wait a moment! Why do you need e.g. 102,545 observations which are all the same? Only if you need to run a command which does not accept weights, I suggest. Nick n.j.cox@durham.ac.uk * * 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/

**Follow-Ups**:**Re: st: RE: reshape question***From:*Traci A Schlesinger <tracias@Princeton.EDU>

**References**:**st: reshape question***From:*Traci A Schlesinger <tracias@Princeton.EDU>

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