Thanks. Someone please help to make t.test go through all the data and not
to be disrupted by the two problems.
On 2/12/08, Petr PIKAL <[EMAIL PROTECTED]> wrote:
>
> Hi
>
> [EMAIL PROTECTED] napsal dne 12.02.2008 09:09:23:
>
> > Hi,
> >
> > First problem:
> > > test <- matrix(c(1,1,2,1), 2,2)
> > > apply(test, 1, function(x) { t.test(x) $p.value })
> > Error in t.test.default(x) : data are essentially constant
>
> make your data not constant
>
> >
> > Second problem:
> > > test <- matrix(c(1,0,NA,1), 2,2)
> > > apply(test, 1, function(x) { t.test(x) $p.value })
> > Error in t.test.default(x) : not enough 'x' observations
>
> increase number of observations
>
>
> >
> > How to make t-test ignores this errors ?
>
> Well, the procedure is complaining that you do not give it correct data.
> You shall be gratefull for a great software which prevent you from making
> silly things as try to compute t.test when data have zero variantion or
> number of observations is 1.
>
> Regards
> Petr
>
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
>
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
