Check the Jarque-Bera Test for univariate testing (http://hosho.ees.hokudai.ac.jp/~kubo/Rdoc/library/tseries/html/jarque.bera.test.html) and Mardia's test for multivariate testing (http://www.inside-r.org/packages/cran/MVN/docs/mardia.test).
On Sep 24, 2013, at 6:44 PM, steric <rd023...@ohio.edu> wrote: > Hello, > > I have a large data set that includes many soil parameters (i.e. pH, calcium > levels, enzyme activity, etc) Does anyone have any input as to the easiest > way to check a large data set for normality? Is there an R function/package > that can do this all at once? > > Thank you in advance, > > > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Checking-a-large-data-set-for-normality-tp4676858.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
