Hi R friends, I am posting this question even though I know that the nature of it is closer to general stats than R. Please let me know if you are aware of a list for general statistical questions:
I am looking for a simple method to distinguish two groups of data in a long vector of numbers: list <- c(1,2,3,2,3,2,3,4,3,2,3,4,3,2,400,340,3,2,4,5,6,4,3,6,4,5,3) I would like to 'learn' that 400,430 are different numbers by using a simple approach.The outcome of processing 'list' should therefore be: listA <- c(1,2,3,2,3,2,3,4,3,2,3,4,3,2,3,2,4,5,6,4,3,6,4,5,3) listB <- c(400,340) I am thinking a non-parametric test since I have no knowledge of the underlying distribution. The numbers are time differences between two actions recorded from a the same person over time. Because the data was obtained from the same person I would naturally tend to use Wilcoxon Signed-Rank test. Any thoughts on that? Are there any R packages that would process such a vector and use non-parametric methods to split or divide groups based on their values? Could clustering be the answer given that I already know that I always have two groups with a significant difference between the two. Thanks a lot, Ralf ______________________________________________ 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.
