Re: st: Clustered Data Format

 From Matt Spittal To Subject Re: st: Clustered Data Format Date Wed, 18 Mar 2009 12:03:32 +1100

```Dear John,

The command -reshape- is one way to tackle this problem. The trick that
often catches me out is the naming of the y variable -- it needs to have a
number at the end to signify the wave (e.g. y1, y2, ..., yn).

clear
input patientid    y_first    y_second    days_betw
299729    0                  0            64
295861    0.17               0.08         63
292641    0.15               0.5          69
end

We then rename the y variable

rename y_first y1
rename y_second y2

And then use the -reshape- command

reshape long y, i(patientid) j(wave)

Note that you can convert a dataset from long format to wide format with
-reshape wide-.  Finally, I noticed that you want the variable days_betw to
be set to zero if this is the first measurement.

replace days_betw = 0 if wave == 1

-- Matt
matt.spittal@cancervic.org.au

On 18/3/09 11:37 AM, "john metcalfe" <johnzmetcalfe@gmail.com> wrote:

> Dear Statalist,
> Forgive me if this is too elementary of a question, but I have a
> longitudinal data set in Format A below upon which I would like to
> perform linear mixed effects regression (y on days_b grouped by
> patientid). Is there an easy way to convert the data to Format B?
> Many thanks,
> John
>
> Format A: (current)
> patientid y_first y_second days_betw
> 299729 0                0 64
> 295861 0.17              0.08 63
> 292641 0.15               0.5 69
>
> Format B: (desired)
> patientid y days_betw
> 299729 0 0
> 299729 0 64
> 295861 0.17 0
> 295861 0.08 63
> 292641 0.15 0
> 292641 0.5 69
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/
```