search for: test3ddata

...ate the general impression of a cloud So far I am stuck on 3 but maybe there is a better overall solution. Here is some code that reads the result of the interpolation on a coarse grid and plots it: # read a set of gridded data points in 3D d = read.table("http://dl.dropbox.com/u/1047321/R/test3Ddata.txt", header=T) # plot library("rgl") spheres3d(d$x, d$y, d$z, alpha=alpha, radius=0.05) And here is a version that actually performs the interpolation a random set of points in 3D through kriging in case you want to try with increase precision. # create a set of random data p...

...ate the general impression of a cloud So far I am stuck on 3 but maybe there is a better overall solution. Here is some code that reads the result of the interpolation on a coarse grid and plots it: # read a set of gridded data points in 3D d = read.table("http://dl.dropbox.com/u/1047321/R/test3Ddata.txt", header=T) # plot library("rgl") spheres3d(d$x, d$y, d$z, alpha=alpha, radius=0.05) And here is a version that actually performs the interpolation a random set of points in 3D through kriging in case you want to try with increase precision. # create a set of random data p...