
Thx for the link, I have seen these packages before, but looking to them, i couldn't find any that computes these statistics/measures.

Any clue if any particular of them computes any of these characteristics?

One of the co-authors of the paper is Prof. Hyndman who has contributed in many of these packages.. that's why i was guessing there would be implementations for these measures.

best,
john

> CC: r-help@r-project.org
> From: dwinsemius@comcast.net
> To: illuminati248@hotmail.com
> Subject: Re: [R] time-series features skewness kurtosis periodicity trend seasonality
> Date: Tue, 3 Apr 2012 13:00:42 -0400
> 
> 
> On Apr 3, 2012, at 12:34 PM, John Kohr wrote:
> 
> >
> > Hello everyone,
> 
> >
> > I found the paper "A scalable method for time-series clustering" and  
> > there are proposed several measures to characterize time-series like  
> > trend, seasonality, periodicity, serial correlation, skewness,  
> > kurtosis, self-similarity etc.
> >
> > They say they have implemented them on R, do you have any clue if  
> > there is a package calculating them? or any other packages that  
> > calculate some of them so that i can combine them?
> 
> http://cran.r-project.org/web/views/TimeSeries.html
> 
> -- 
> 
> David Winsemius, MD
> West Hartford, CT
> 
 		 	   		  
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