R help - Mar 2010 - Bartlett Test

Hi 

I am trying to conduct a Bartlett test between two groups Samp 1 and Samp 2,
both of which are vectors of equal length. I cant find any information on how to
do this. Does the data need to be in a structured list.

Thanks in advance

?bartlett.test
>From the help page "If x is a list, its elements are taken as the
samples or fitted linear models to be compared for homogeneity of variances. In
this case, the elements must either all be numeric data vectors or fitted linear
model objects, g is ignored, and one can simply use bartlett.test(x) to perform
the test. If the samples are not yet contained in a list, use
bartlett.test(list(x, ...)).
Otherwise, x must be a numeric data vector, and g must be a vector or factor
object of the same length as x giving the group for the corresponding elements
of x. "

Patrick

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of Amit Patel
Sent: Monday, March 01, 2010 9:26 AM
To: r-help at r-project.org
Subject: [R] Bartlett Test

Hi 

I am trying to conduct a Bartlett test between two groups Samp 1 and Samp 2,
both of which are vectors of equal length. I cant find any information on how to
do this. Does the data need to be in a structured list.

Thanks in advance





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On 2010-03-01 7:25, Amit Patel wrote:
> Hi
>
> I am trying to conduct a Bartlett test between two groups Samp 1 and Samp
2, both of which are vectors of equal length. I cant find any information on how
to do this. Does the data need to be in a structured list.
>
I guess you haven't looked very hard.

  help.search('Bartlett') immediately leads you to bartlett.test.

But why on earth would you want to do a Bartlett test? You would
be well advised to read the reference quoted in ?fligner.test.

  -Peter Ehlers
> Thanks in advance
>
>
>
>
>
> ______________________________________________
> 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.
>
>
-- 
Peter Ehlers
University of Calgary