> 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
B
> Sent: Wednesday, June 23, 2010 12:05 PM
> To: r-help@r-project.org
> Subject: [R] About normality tests...
>
> 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 th
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
Contact
Details:---
Contact me: tal.gal...@gmail.com | 972-52-7275845
Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
www.r-statistics.com
In addition to the previous email:
What plots would you suggest in addition to density / histogram plots
and how can I produce them with R ? Perhaps one of you has an example
?
Thanks a lot,
Ralf
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R-help@r-project.org mailing list
https://stat.ethz.c
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 more likely to normal
results (Andy F
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