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...leftPad <- convertX(sum(glayout$page.layout$widths[1:(colRange[1]-1)]), "npc", valueOnly = TRUE) rightPad <- convertX(sum(glayout$page.layout$widths[(colRange[2]+1):layCols]), "npc", valueOnly = TRUE) topPad <- convertY(sum(glayout$page.layout$heights[1:(rowRange[1]-1)]), "npc", valueOnly = TRUE) botPad <- convertY(sum(glayout$page.layout$heights[(rowRange[2]+1):layRows]), "npc", valueOnly = TRUE) I was succesful in tweaking the follwing lines adding arbitrary constants to make it work for a particular instance of a xyplot w...

...leftPad <- convertX(sum(glayout$page.layout$widths[1:(colRange[1]-1)]), "npc", valueOnly = TRUE) rightPad <- convertX(sum(glayout$page.layout$widths[(colRange[2]+1):layCols]), "npc", valueOnly = TRUE) topPad <- convertY(sum(glayout$page.layout$heights[1:(rowRange[1]-1)]), "npc", valueOnly = TRUE) botPad <- convertY(sum(glayout$page.layout$heights[(rowRange[2]+1):layRows]), "npc", valueOnly = TRUE) I was succesful in tweaking the follwing lines adding arbitrary constants to make it work for a particular instance of a xyplot w...

Hi, I wonder whether similarly to the very quick rowSums and colSums functions in the base package, one could add quick functions that calculate the min or max over rows / cols in a matrix. While apply(x,1,min) works, I found out by profiling a program of mine that it is rather slow for matrices with a very large number of rows. A quick functionality seems to be already there in the

Hi, Currently, the "base" has colSums, colMeans. It seems that it would be useful to extend this to also include colMin, colMax (of course, rowMin and rowMax, as well) in order to facilitate faster computations for large vectors (compared to using apply). Has this been considered before? Please forgive me if this has already been discussed before. Thanks, Ravi Ravi Varadhan, Ph.D.