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I did, quite quickly. In particular, R seems to be focused on univariate data; support for multivariate data (things like "lego plot" histograms, or any kind of histogram in more than one variable) is patchy at best.

Having said that, I must note that I am new to R, and rejecting anything so quickly makes me very nervous. I suspect that I have not even come close to plumbing the depths, so to speak, of R's capabilities.

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To both of you: I’m far from a statistician, so YMMV, but after trying to work with multivariate data in both R and MATLAB, I really found using numpy/scipy to be substantially nicer. And even better, if you ever decide to do anything else in a program, like munge text or interact with internet services, a general-purpose language like Python is a big advantage.

You can check out the lattice, ggplot2, scatterplot3d and rgl libraries to see how R handles multivariate data - R is especially well suited for analyzing panel (longitudinal) data with multiple variables.

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