On Thu, Oct 1, 2009 at 6:38 AM, Lorenzo Isella <lorenzo.ise...@gmail.com> wrote: > Dear All, > Here is what I am trying to achieve: I would like to plot some data in 3D. > Usually, one has a matrix of the kind > > y_1(x_1) , y_1(x_2).....y_1(x_i) > y_2(x_1) , y_2(x_2).....y_2(x_i) > ........................................... > y_n(x_1) , y_n(x_2)......y_n(x_i) > > > where e.g. y_2(x_1) is the value of y at time 2 at point x_1 (see that the > grid in x is the same for the y values at all times). > Instead, in my case, the quantity y is observed at each time on a different > grid in x; in other words not only do I have a different number of > observations (y values) at each time, but I also have observations taken on > a a different x grid each time. > As a matter of fact, it is as if I had a set of independent observations, > for each of which I can create effortlessly a 2D plot, that I want to stitch > together into a 3D plot. > I have no idea of how to achieve that. Examples I have found with lattice or > scatterplot3D all assume a regular grid like the one I described above.
3-D scatter plots with cloud() etc. should be easy with irregular data. Surfaces do require a regular grid, and you need some form of interpolation for that. The akima package seems popular for that (I haven't used it myself). -Deepayan ______________________________________________ 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.
