Re: st: complete data import

[Douglas Levy <douglas_levy@post.harvard.edu>]

Thanks, Brendan (and Sarah), this seems to work. -Doug

On Wed, Apr 9, 2014 at 4:59 PM, Brendan Halpin <brendan.halpin@ul.ie> wrote:
> Read each line as a string.
> Create an ID variable that starts at 1 and increments the line after
> each TND line.
> Append the ID as a comma separated string at the end of each line.
> Write out three text files, one for MEM, one for ITM and one for TND.
> Read them with insheet, save as .dta files.
> Merge as appropriate on the ID variable.
>
>
> Approximately:
> Create slug.dct containing this line:
>
> dictionary using raw.csv { str244 slug }
>
> . infile using slug.dct
> . gen id = 1
> . replace id = id[_n-1] + regexm(slug[_n-1], "^TND") if _n>1
> . replace slug = string(id) + "," + slug
> . outfile slug using mem.csv if regexm(slug, ",MEM,"), wide
> . outfile slug using itm.csv if regexm(slug, ",ITM,"), wide
> . outfile slug using tnd.csv if regexm(slug, ",TND,"), wide
>
> Now you have 3 comma-separated-value files, readable by insheet, that
> have an ID variable on which you can merge.
>
> Brendan
> --
> Brendan Halpin, Head, Department of Sociology, University of Limerick, Ireland
> Tel: w +353-61-213147  f +353-61-202569  h +353-61-338562;  Room F1-002 x 3147
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> http://teaching.sociology.ul.ie/bhalpin/wordpress         twitter:@ULSociology
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