> Finally, FWIW, 1 is not considered "very large" these days; maybe
> 10,000,000,000 might be...
It's off topic, but I rather like Mike Driscoll's definition of big
data: it's too big to fit on a single machine and must be stored on
many (http://www.slideshare.net/dataspora/s-4455027). A smal
Before doing normality tests look at fortune(117) and fortune(234). If you
still feel the need to have the computer print out a p-value for a test of
exact normality, then try SnowsPenultimateNormalityTest in the TeachingDemos
package. If you want a test that is more meaningful, then look at v
elp@r-project.org
Subject: Re: [R] About normality tests...
On 2010-06-23 12:05, Ralf B wrote:
> Hi all,
>
> I have two very large samples of data (1+ data points) and would
> like to perform normality tests on it. I know that p< .05 means that
> a data set is considered as
On 2010-06-23 12:05, Ralf B wrote:
Hi all,
I have two very large samples of data (1+ data points) and would
like to perform normality tests on it. I know that p< .05 means that
a data set is considered as not normal with any of the two tests. I am
also aware that large samples tend to lead
look at:
?qqnorm
and
?qqline
Examples are in their help.
Tal
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