On Sep 25, 2013, at 5:55 AM, steric wrote:
It was just a question to see if it was possible on a large data
set. I
wasn't looking for a flame war. New strategy is simply new strategy.
Half of
my time spent on R is trying to find a better way.
If you say why you want to do a global test wit
On 09/25/13 16:10, David Winsemius wrote:
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 i
It was just a question to see if it was possible on a large data set. I
wasn't looking for a flame war. New strategy is simply new strategy. Half of
my time spent on R is trying to find a better way.
--
View this message in context:
http://r.789695.n4.nabble.com/Checking-a-large-data-set-for-no
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
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 wrote:
> Hello
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,
--
Vi
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