search for: kernsur

Dear R users: I have a dataset with two variables (>20000 observations, two samples from same subject) and I used "kernSur" from library(Genkern) to get a estimated bivariate density and corresponding plots as follows: new.data.normal<-data.normal[!is.na(data.normal[,2]),] x<-new.data.normal[,2] y<-new.data.normal[,3] op <- KernSur(x,y, xgridsize=50, ygridsize=50, correlation=0.4968023,...

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 &qu...

...Kern package. I've used the image() and contour() to create a nice shaded plot, but I've found a 3d plot is often easier for the audience to absorb. The session is simple enough; dfw is a data.frame of two variables, pressure and flow. > library(GenKern) > attach(dfw) > ks<- KernSur(pressure,flow) #now, make the shaded contour plot. > image(ks$xvals,ks$yvals,ks$zden,col=terrain.colors(100), axes=TRUE) > contour(ks$xvals,ks$yvals,ks$zden,add=TRUE) Any ideas from here? Cheers Jason -- Indigo Industrial Controls Ltd. 64-21-343-545 jasont at indigoindustrial.co.nz -.-.-....

Is there code for bivariate kernel density estimation? For bivariate kernels there is kde2d in MASS kde2d.g in GRASS KernSur in GenKern (list probably incomplete) but none of them seems to accept a weight parameter (like density does since R 2.2.0) -- Erich Neuwirth, University of Vienna Faculty of Computer Science Computer Supported Didactics Working Group Visit our SunSITE at http://sunsite.univie.ac.at Phone: +43-1-...

Dear Sir/Madam; Would you please tell me what is the command that allows the estimation of the Kernel Density for some data. Thanks, Thami Rachidi [[alternative HTML version deleted]]