I am comparing pre and post dependent matched patients samples.

However, I need to compare more than 1000 peaks. If I use the
following codes to do the paired t test, that means I need to create
more than 1000*2 variables first. Is that possible not to create so
many variables? Can we do similar thing in independent comparison,
where we can use CLASS then VAR.

PROC TTEST DATA=masil.drug;
   PAIRED propeak1: postpeak1;
RUN;

Thank you very much for your help!

On May 12, 2:39=A0pm, greenwillow <yangliuy...@gmail.com> wrote:
> I am comparing pre and post dependent matched patients samples.
>
> However, I need to compare more than 1000 peaks. If I use the
> following codes to do the paired t test, that means I need to create
> more than 1000*2 variables first. Is that possible not to create so
> many variables? Can we do similar thing in independent comparison,
> where we can use CLASS then VAR.
>
> PROC TTEST DATA=3Dmasil.drug;
> =A0 =A0PAIRED propeak1: postpeak1;
> RUN;
>
> Thank you very much for your help!

Make the data have PEEK 1:1000 and variable PRE and POST an then do
PROC TTEST by PEEK.

However, there are around 16 matched patients, which means pre and
post should be subset to 16 variables each.

On May 12, 3:16=A0pm, "data _null_;" <datan...@gmail.com> wrote:
> On May 12, 2:39=A0pm, greenwillow <yangliuy...@gmail.com> wrote:
>
> > I am comparing pre and post dependent matched patients samples.
>
> > However, I need to compare more than 1000 peaks. If I use the
> > following codes to do the paired t test, that means I need to create
> > more than 1000*2 variables first. Is that possible not to create so
> > many variables? Can we do similar thing in independent comparison,
> > where we can use CLASS then VAR.
>
> > PROC TTEST DATA=3Dmasil.drug;
> > =A0 =A0PAIRED propeak1: postpeak1;
> > RUN;
>
> > Thank you very much for your help!
>
> Make the data have PEEK 1:1000 and variable PRE and POST an then do
> PROC TTEST by PEEK.