On Fri, 13 Oct 2006 17:15:45 -0400 Weiwei Shi wrote: > Dear Listers: > > I happen to have this question in mind, is there a way to evaluate the > "correlation" between > a continuous variable and a categorical variable (without discretizing > the former)? My intuitive is using lda by considering the latter as > response variable but not sure.
It depends what exactly you mean by "evaluate correlation". If you want to test independence of two variables X and Y against some form of association, you can generally use statistics based on sum h(Y) * g(X) where h() and g() are suitable transformations of X and Y. Special cases of this framework are tests for correlation of continuous variables and Chi-squared type statistics for categorical variables. This approach is implemented in the package "coin", see independence_test() and the package vignette. hth, Z > thanks, > > weiwei > > -- > Weiwei Shi, Ph.D > Research Scientist > GeneGO, Inc. > > "Did you always know?" > "No, I did not. But I believed..." > ---Matrix III > > ______________________________________________ > [email protected] 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. > ______________________________________________ [email protected] 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.
