Hey. I have a set of data points (x1,y1,z1; x2,y2,z2;...........................xn,yn,zn). I need to smooth these in 3D. For example if these were in 2 D then one would use inverse distance weighting or moving averages. Does anyone know of any funtion in R that can be used to do this (Using 3D data as mine)? -- View this message in context: http://www.nabble.com/Smoothing-3-D-data-tp16571189p16571189.html Sent from the R help mailing list archive at Nabble.com.
Ruby_Stanford <hiranakshidevi <at> gmail.com> writes:> Hey. I have a set of data points (x1,y1,z1; > x2,y2,z2;...........................xn,yn,zn). I need to smooth these in 3D. > For example if these were in 2 D then one would use inverse distance > weighting or moving averages.interp.loess {tgp} is easiest to use when you have equidistant grid data. Dieter