Thanks for the comment. In this particular occasion, there is indeed a strong
case for keeping the data that way.
Alejandro
In message <031173627889364697C50B3B266CBB8A101B5E@GEOGMAIL.geog.ad.dur.ac.uk>
[email protected] writes:
> This problem was solved. However,
> an over-arching comment: keeping
> time series as observations is
> like running uphill. Can be done,
> but much more exhausting than the
> alternative.
>
> Unless there are special reasons
> for this structure, consider
> transposing your data.
>
> Nick
> [email protected]
>
> Alejandro Delafuente
>
> > I have a time series for 40 years (40 continuos variables)
> > and am trying to
> > create a 1/0 variable that indicates 1 (for each row) if at
> > least 20 variables
> > in the series have consecutive non-missing values and 0 if
> > this condition is
> > not accomplished. I do have more than 20 non-missing values
> > for most of the
> > variables per row, but there are gaps (ie, missing values)
> > between them. Thus I
> > want to know how many fulfill the condition of 20 non-missing
> > values in a road.
> > Any clues as to how can I accomplish this with programming?
>
> *
> * 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/
>
--
Alejandro de la Fuente
QEH/Department of International Development
Oxford University
*
* 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/
