On Fri, 21 Dec 2018 16:37:54 +0100 Giuseppe Cillis <giucil...@gmail.com> wrote:
> Dear all, > I am a beginner with R (and also with the statistics) for which I > hope to be clear. > I should do this non-parametric test on data I extracted from maps. > In practice I have a column that represents the landscape Dynamics of > a certain time period (there are 3 dynamics, each of them marked by > the number 1, 2 or 3) and the other column with the values of a > topographic variable (for example the slope) . In all, there are more > than 90,000 pairs of values. > Going to do the test in R, for all the dynamics and for all the > variables, I get out of the values of chi-square elevated (even in > the order of thousands) and a p-value always <2.2e-16 .... why? Where > can the error be? in the script or in the test approach? > Thanks in advance > Your question and your problem is not about R, but rather about why your results do not match your expectations. There are a lot of questions you should be considering like, why use Kruskal-Wallis, before you even start wondering about R? JWDougherty ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
