Are there any packages that help with statistical analysis in situations where fractal geometry is relevant? Perhaps something that supports computation of fractal related statistics, such as the Hurst exponent or fractal dimension? Or perhaps which support obvious tasks such as taking samples from a dataset at different levels of granularity (such as sampling spatial data at cm, m, km spatial resolution, or sampling daily time series at weekly, monthly, quaterly or annual resolution)? Thanks Ted
Spencer Graves
2008-Jul-05 00:38 UTC
[Rd] Interface between fractal geometry and statistics
RSiteSearch('fractal', 'fun') returned 68 hits for me just now. Might any of those be helpful? Spencer Ted wrote:> Are there any packages that help with statistical analysis in situations where > fractal geometry is relevant? Perhaps something that supports computation of > fractal related statistics, such as the Hurst exponent or fractal dimension? > Or perhaps which support obvious tasks such as taking samples from a dataset > at different levels of granularity (such as sampling spatial data at cm, m, km > spatial resolution, or sampling daily time series at weekly, monthly, quaterly > or annual resolution)? > > Thanks > > Ted > > ______________________________________________ > R-devel at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel >
Antonio, Fabio Di Narzo
2008-Jul-05 08:06 UTC
[Rd] Interface between fractal geometry and statistics
2008/7/4 Ted <r.ted.byers at gmail.com>:> Are there any packages that help with statistical analysis in situations where > fractal geometry is relevant? Perhaps something that supports computation of > fractal related statistics, such as the Hurst exponent or fractal dimension?tseriesChaos has functions for estimating correlation dimension on an observed (long) time series.> Or perhaps which support obvious tasks such as taking samples from a dataset > at different levels of granularity (such as sampling spatial data at cm, m, km > spatial resolution, or sampling daily time series at weekly, monthly, quaterly > or annual resolution)?For time series, look for 'aggregate'. f.> > Thanks > > Ted > > ______________________________________________ > R-devel at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel >-- Antonio, Fabio Di Narzo Ph.D. student at Department of Statistical Sciences University of Bologna, Italy