Greetings, I am trying to perform a Mann-Whitney U test to a pair of data series, according to what I have read about R the command to use is:
wilcox.test(data1, data2) However I am having trouble interpreting the results: --- Wilcoxon rank sum test with continuity correction data: Dataset$OTMinR and Dataset$OTMaxW W = 460627.5, p-value = 0.001798 alternative hypothesis: true location shift is not equal to 0 --- According to my understanding the test tests the hypothesis that the two data series are drawn from a single population. And I interpret those results, having the p-value 0.001798, that the hypothesis is NOT rejected, meaning that there is a high probability that the two samples come from the same population. Is that interpretation true? Also, I am not sure what is the alpha value of the performed test? is it 0.05? or 0.01? is there a way to change it? Thank you! -- Omar Baqueiro Espinosa Computer Science PhD Candidate Computer Systems Engineer Workpage: www.csc.liv.ac.uk/~omar/ HomePage (spanish):http://www.baqueiro.co.uk/ PGP Key available at: www.csc.liv.ac.uk/~omar/pgp.html _____ ______________________________________________ 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.
