--On 01 April 2008 22:24 -0700 marco stampini <[email protected]>
wrote:
Hello.
I need to reshape a World Development Indicators dataset. Currently, it
is organized as follows.
country var year2000 year2001 year2002
Angola GDP 100 102 104
Angola Export 20 21 20
Algeria GDP 200 202 204
Algeria Export 10 11 10
country and var are string variables.
The dataset has 26500 rows and 43 columns (53 countries, 37 years, 500
variables per country). I could reduce this if the size is a problem.
I would need the dataset to be organized as follows
country year GDP Export
Angola 2000 100 20
Angola 2001 102 21
Angola 2002 104 20
Algeria 2000 200 10
Algeria 2001 202 11
Algeria 2002 204 10
This dataset would have 502 columns (country, year and 500 variables),
and 1961 rows (53 countries times 37 years).
I tried the usual reshape commands but had no success. I am sure I am
missing something. Your help would be most appreciated. Thanks in
advance. Marco
Marco,
Here's how I'd do it with two passes of -reshape-. There may be more
elegant ways. The confusion may be because on reshaping to long, you end
up with your data in a variable called _year_?
--------------------
reshape long year, i( country var) j(y)
rename year n
rename y year
reshape wide n, i( country year) j( var) str
--------------------
You end up with an 'n' prefix for the variables, but it should do the job?
Cheers
Ben
----------------------
Ben Wheeler
Research Fellow, University of Bristol
Department of Social Medicine
Department of Exercise, Nutrition & Health Sciences
& South West Public Health Observatory
e: [email protected]
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