This is probably an even more basic question but shapiro.test return both the statistic (w) and the significance (pw) of the statistic. For this test the null-hypothesis is that the distirbution is not normal so very small values of pw would mean that there is very little chance that the distiribution is not normal. Correct?
Thank you. Kevin ---- Johannes Graumann <johannes_graum...@web.de> wrote: > Markus Mehrwald wrote: > > > Hi all, > > > > I am completely new to R and my knowledge of statistics is quite small > > so I hope you can help my. > > I have three dimensional point data which represents (and this is what I > > do not know for sure) a normal distribution. Now I want to test if this > > is true or not and as I can remember from statistics lessons I can use > > Chi-Square test for distribution test. BUT: I have realy no idea how to > > do this with R and additionally if my assumptions are correct and if > > this is possible with R at all. > > > > Thank you very much in advance for any answer. > > Markus > > See > ?shapiro.test > or > ?ks.test > > HTH, Joh > > ______________________________________________ > 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. ______________________________________________ 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.
