Hi Daniela, Spencer (? Graves) is not at home. Seriously, this is a list that many people read and use. If you wish to elicit a response, then you would be wise to give a better statement of what your difficulty is.
The function you enquire about is well documented with an example, see ## library(GenKern) ## load the package ?KernSur ## get help on the function You don't need to do anything special to get adaptive bandwidths, it's all done for you (by the authors of the package). Just replace the x and y values in the example with your values, and perhaps deal with any NAs in your data set. Should one moralize?: Well, it is generally true that you want help from others... HTH, Mark. Daniela Carollo wrote: > > Hi Spencer, > > I have seen your name on the web site, and perhaps you can > help me with my R problem. > > I'm trying to use KernSur to put in evidence a substructure in a > bidimensional plot. My problem is that, in order to get the density > in the low density areas (in which the substructure is located) I should > use different bandwidths. How I can do that? > > Also, I think that the best choice for my case is to use the function > "akerdmul" which perform the multivariate adaptive kernel density > distribution. Are you familiar with this function? > > Any help would be really appreciated. > > Thank you very much! > > Regards, > > Daniela > > ______________________________________________ > 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. > > -- View this message in context: http://www.nabble.com/help-with-bivariate-density-plot-question-tp18495958p18504638.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
