Hi, When testing whether random variables X and Y are independent the usual assumption is that you have n pairs of outcomes - (X1,Y1), (X2,Y2), ... , (Xn,Yn) and you are basically checking whether the value of X affects the value of Y. If you have 7 observations of X and 5 separate observations of Y (which have nothing to do with the observations of X) you can not test for independence.
Regards, Moshe. --- Shoaaib Mehmood <[EMAIL PROTECTED]> wrote: > hi, > > is there a way of calculating of measuring > dependence between two > categorical variables. i tried using the chi square > test to test for > independence but i got error saying that the lengths > of the two > vectors don't match. Suppose X and Y are two > factors. X has 5 levels > and Y has 7 levels. This is what i tried doing > > >temp<-chisq.test(x,y) > > but got error "the lengths of the two vectors don't > match". any help > will be appreciated > -- > Regards, > Rana Shoaaib Mehmood > > ______________________________________________ > 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.
