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. ______________________________________________ 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.