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: dwinsem...@comcast.net > To: illuminati...@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 > [[alternative HTML version deleted]] ______________________________________________ R-help@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.
