Chad Junkermeier <junkermeier <at> byu.edu> writes: > > I have a set of data in the form > x1, y1, z1 > x1, y2, z2 > ... > x1, yN, zN > x2, y1, z(N+1) > x2, y2, z(N+2) > ... > x2, yN, z(2N) > ...and so on... > xM, yN, val(M*N) > > Do you have any suggestions?
Not at all carefully tested, but: ## make up data x = 1:50 y = 1:50 z = outer(x,y,function(x,y) sin(2*pi*(x/10))+cos(2*pi*(y/25))^2) v = expand.grid(x,y) dat = data.frame(x=v[,1],y=v[,2],z=c(z)) ## data as they would be read from your original data file persp(x=unique(dat$x),y=unique(dat$y),dat$z) [in my example x changes more rapidly than y. You may need to play around with the identities of x and y] ______________________________________________ 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.
