[R] Modality Test

Bert Gunter gunter.berton at gene.com
Tue Sep 9 23:26:35 CEST 2008


Here is a function that tests for equality of however many distributions as
you like:

equaldist <- function(...){
## ... numeric sample vectors from the possibly different distributions to
be tested
## returns TRUE only if the distributions are the same
FALSE
}

;-)

-- Bert Gunter
Genentech 

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
Behalf Of Mark Difford
Sent: Tuesday, September 09, 2008 1:23 PM
To: r-help at r-project.org
Subject: Re: [R] Modality Test


Hi Amin,

And I have just remembered that there is a function called curveRep in Frank
Harrell's Hmisc package that might be useful, even if not quite in the
channel of your enquiry. curveRep was added to the package after my
struggles, so I never used it and so don't know how well it performs (quite
well, I would think).

Regards, Mark.


Amin W. Mugera wrote:
> 
> 
> Dear Readers:
> 
> I have two issues in nonparametric statistical analysis that i need
> help:
> 
> First, does R have a package that can implement the multimodality test,
> e.g., the Silverman test, DIP test, MAP test or Runt test. I have seen
> an earlier thread (sometime in 2003) where someone was trying to write
> a code for the Silverman test of multimodality. Is there any other
> tests that can enable me to know how many modes are in a distribution?
> 
> Second, i would like to test whether two distributions are equal. Does R
> have a  package than can implement the Li (1996) test of the equality
> of two distributions? Is there any other test i can use rather than the
> Li test?
> 
> Thank you in advance for your help.
> 
> Amin Mugera
> Graduate Student
> AgEcon Dept. Kansas State University
> 
> ______________________________________________
> 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.
> 
> 

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