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
>
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>
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