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.
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 <rd023411 at 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 at 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.
On Sep 24, 2013, at 11:44 AM, steric 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? >This raises the question about why one should be doing this. There is quite a bit of misinformation about the "need for normality", some of it presented by Six Sigma "experts" or even by college professors who should know better. One might even say that if you don't know how to check for normality then there is a high likelihood that you should not be doing so. -- David Winsemius, MD Alameda, CA, USA