On 9/24/08, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote: > Hello! > I have data containing a large number of probabilities (about 60) of > nonzero coefficients to predict 10 different independent variables (in 10 > different BMA models). i've arranged these probabilities in a matrix like > so: > > (IV1) (IV2) (IV3) ... > p(b0) p(b0) p(b0) > p(b1) p(b1) p(b1) > p(b2) p(b2) p(b2) > ... > > > where p(b1) for independent variable 1 is p(b1 != 0) (given model > uncertainty - using the BMA package). i've also set it so that if the > coefficient is negative, the probability is listed as negative (to be able > to distinguish between significant positive and negative effects by color). > > i'd like to create a plot which is a 10x60 grid of rectangles, where each > rectangle is colored according to its probability of being nonzero > (preferably white would correspond to a zero probability). i've looked into > levelplot, heatmap, and image, and cant seem to get exactly what im looking > for. > > heatmap gives me problems in that the output is inconsistent with the data > - among other things, the first and last rows do not seem to show up (they > are just white, despite clearly nonzero probabilities). even if i do not > use the dendrogram (Rowv and Colv set to NA), i still seem to have an issue > with a probability in a given row not corresponding to the same color as the > same probability in a different row. > > levelplot seems to do exactly what i want it to do, except that i cant find > a way to label the individual columns and rows, which I really need
The matrix method for levelplot uses rownames and column names to label columns and rows; e.g., x = matrix(1:12, 3, 4) rownames(x) = letters[1:3] colnames(x) = LETTERS[1:4] levelplot(x) We need more details to figure out why that doesn't work for you. -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.
