On 05 Feb 2015, at 09:20 , meng <laomen...@163.com> wrote: > Hi all: > If I want to test whether the mean of a set of normal distributed data is > different from a value(e.g. 0), I can use one sample t test . But if the data > is not normal distributed,what kind of method should be used? >
Not really an R question is it? (stats.stackexchange.com is -----> over there) Anyways, short answer: If you can assume symmetry under the null hypothesis, there is a one-sample wilcox.test (signed rank test) and a couple of similar tests. If the distribution is not symmetric, first decide if you really mean the mean. If you actually mean median, there's the sign test. If you really do mean the mean, I'd look at the t test supplemented with bootstrap simulations to see whether departure from normality matters much. > Many thanks! > > > My best. > > > > > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ 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.
