Hi, I am not sure I am using correctly the mahalanobis distnace method... Suppose I have a response variable Y and predictor variables X1 and X2
all <- cbind(Y, X1, X2) mahalanobis(all, colMeans(all), cov(all)); However, my results from this are different from the ones I am getting using another statistical software. I was reading that the comparison is with the means of the predictor variables which led me to think that the above should be transformed into: predictors <- cbind(X1, X2) mahalanobis(all, colMeans(predictors), cov(all)) But still the results are different.... Am I doing something wrong or have I misunderstood something in the use of the function mahalanobis? Thanks. -- yianni ______________________________________________ R-help@stat.math.ethz.ch 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.