Rolf Turner wrote: > I don't know from the nortest package, but it should ***always*** > be the case that you test hypotheses > > H_0: The data have a normal distribution. > vs. > H_a: The data do not have a normal distribution. > > So if you get a p-value < 0.05 you can say that > > ***there is evidence*** > > (at the 0.05 significance level) that the data are not from a > normal distribution. > > If the nortest package does it differently (and I don't really see > how it possibly could!) then it is confusingly designed. I rather > suspect that its design is just fine, and that it does what it should > do. >
I suspect so as well. If you think something is wrong, please contact the package maintainer (CCing; he's not reading R-help posts). Uwe Ligges > cheers, > > Rolf Turner > [EMAIL PROTECTED] > > Original message: > > >> I have a question regarding normality testing with the nortest >>package. I have to admit, my question is so general that it might more be >>suited a newsgroup such as sci.math. However, just in case it is >>implemented differently, I was hoping someone who has used it can help me >>out. >> >> I just want to double check that for all of the tests, the null >>hypothesis is whether or not the input distribution *differs* with the >>normal distribution. So, if you get a p-value less than (say) 0.05, you >>can reject the null hypothesis at a 95% confidence level and say that the >>input distribution is *not* normal. >> >> So these tests check/confirm whether a distribution is not >>normal...as opposed to confirming that it is normal. Does this sound >>about right? >> >>Ray > > > ______________________________________________ > 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 ______________________________________________ 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