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Hi, Does anybody know, what is going on here? > diag(sqrt(1)) [,1] [1,] 1 > diag(sqrt(0.3333)) <0 x 0 matrix> > sqrt(1) [1] 1 > sqrt(0.3333) [1] 0.5773214 BR, Markku Karhunen researcher University of Helsinki

...5 2 # so now dim(B)[3] doesn't work C=B[2,] dim(C) NULL # so now nrow(C) doesn't work Typically, you can get rid of this by writing as.matrix, as.array(...) but that generates extra lines of code. This is really annoying. Does anybody know how to turn this behaviour off? best, Markku Karhunen Uni. Helsinki

Hi, This is a very basic question, but apparently I am too stupid for it. I have a large matrix A, and I need to avoid for loops. How could I apply a function f(a,r,c) on each element of A, using the subscript (row and column) of a as the other arguments? Thanks in advance, Markku Karhunen National Public Health Institute, Finland

...is, in this kind of task, less reliable than e.g. MatLab? We use just a simple discretisation written in a for loop and a variable (i.e. user-fed) time step. Maybe, I'm too neurotic about this, but I guess I just want some comfort after seeing a few particularly nasty orbits. Best, Markku Karhunen National Public Health Institute, Finland

CRAN (and crantastic) updates this week New packages ------------ * EffectStars (1.0) Maintainer: Unknown Author(s): Gunther Schauberger License: GPL-2 http://crantastic.org/packages/EffectStars The package provides functions to visualize regression models with categorical response. The effects of the covariates are plotted with star plots in order to allow for an optical