[R] R help
I want to fit a kernel density to a data-set of size 1000 and each data point being of dimension 5. The default density function does'nt work for me. Is there any other function available which can do the job efficiently.? I don't have access to a very fast computer. __ 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.
Re: [R] 5-D density? was Re: R help
I don't want to plot or visualize the plot. I just want to clculate the density at certain prespecified points.For that,knowin the funcional form is enough.I just want a function that returns me back the estimate of density at some point On Thu, Jun 4, 2009 at 10:04 PM, David Winsemius wrote: > (copy of earlier reply which was not addressed to r-help. Also added > informative Subject:) > > "yes .." is not responsive to the question of how you propose to > display or examine such a mathematical object. My signature was perhaps a > lame (certainly an ineffective) effort at getting you to acknowledge that > there might, just might, be some conceptual difficulties in "viewing" a 5+1 > = 6 dimensional object. > Can you point to any examples of such a procedure being applied in a manner > that you find helpful? It is certainly feasible to calculate distances in > 5-space, but the next step, displaying the "concentration" of those > distances as a function of the coordinates, would be the "tough nut". > (1000 data points is not a problem. That amount of data should easily fit > in any device that can run R.) > > -- > David > > > On Jun 4, 2009, at 12:06 AM, arijit kumar debnath wrote: > > yes.. > I want a density estimator for 5 dimensional data.I want it to be efficient > since I don't have access to a fast computer.My data set is quite > large(about 1000 data points) and I have only a pentium 4 1.7 Ghz (512 Mb > RAM)computer. > > On Thu, Jun 4, 2009 at 7:25 AM, David Winsemius wrote: > >> We can get you a kde2d but you really want a kde5d? What sort of display >> are you proposing? >> >> -- >> David "Earthling" Winsemius >> >> On Jun 3, 2009, at 9:26 PM, arijit kumar debnath wrote: >> >> I want to fit a kernel density to a data-set of size 1000 and each >>> data point being of dimension 5. The default density function does'nt >>> work for me. Is there any other function available which can do the >>> job efficiently.? >>> I don't have access to a very fast computer. >>> >> > David Winsemius, MD > Heritage Laboratories > 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.
Re: [R] 5-D density? was Re: R help
thank you. This is just what I was looking for. On Fri, Jun 5, 2009 at 3:16 AM, David Winsemius wrote: > To address the creation of a 5-D density object: > > http://finzi.psych.upenn.edu/R/library/ks/html/kda.kde.html > > http://finzi.psych.upenn.edu/R/library/ks/html/kde.html > > http://finzi.psych.upenn.edu/R/library/locfit/html/locfit.raw.html > > -- > David Winsemius > > On Jun 4, 2009, at 12:34 PM, David Winsemius wrote: > > (copy of earlier reply which was not addressed to r-help. Also added >> informative Subject:) >> >> "yes .." is not responsive to the question of how you propose to >> display or examine such a mathematical object. My signature was >> perhaps a lame (certainly an ineffective) effort at getting you to >> acknowledge that there might, just might, be some conceptual >> difficulties in "viewing" a 5+1 = 6 dimensional object. >> >> Can you point to any examples of such a procedure being applied in a >> manner that you find helpful? It is certainly feasible to calculate >> distances in 5-space, but the next step, displaying the >> "concentration" of those distances as a function of the coordinates, >> would be the "tough nut". >> >> (1000 data points is not a problem. That amount of data should easily >> fit in any device that can run R.) >> >> -- >> David >> >> >> On Jun 4, 2009, at 12:06 AM, arijit kumar debnath wrote: >> >> yes.. >>> I want a density estimator for 5 dimensional data.I want it to be >>> efficient since I don't have access to a fast computer.My data set >>> is quite large(about 1000 data points) and I have only a pentium 4 >>> 1.7 Ghz (512 Mb RAM)computer. >>> >>> On Thu, Jun 4, 2009 at 7:25 AM, David Winsemius >> >>>> wrote: >>>> >>> We can get you a kde2d but you really want a kde5d? What sort of >>> display are you proposing? >>> >>> -- >>> David "Earthling" Winsemius >>> >>> On Jun 3, 2009, at 9:26 PM, arijit kumar debnath wrote: >>> >>> I want to fit a kernel density to a data-set of size 1000 and each >>> data point being of dimension 5. The default density function does'nt >>> work for me. Is there any other function available which can do the >>> job efficiently.? >>> I don't have access to a very fast computer. >>> >> >> David Winsemius, MD >> Heritage Laboratories >> 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. >> > > David Winsemius, MD > Heritage Laboratories > 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.
