search for: framegrob

Dear list, I'm trying to arrange various grid objects on a page using a frameGrob. It works fine with basic grobs (textGrob, gTree, etc.), and also with ggplot2 objects using the ggplotGrob() function. I am however stuck with lattice. As far as I understand, lattice produces a list of class trellis, which is eventually displayed using the plot.trellis method. I am not sure if/ho...

Hi All, I am trying to build a composite plot, with multiple categories, using ggplot2. In principle, it could be done using facetting, but I do not seem to be able to get past the defaults, so I try building each plot separately, then putting them all together using frameGrob and placeGrob. For this, I need to know how to: 1) format the legend with a different layout (e.g 2 rows by 2 columns, rather than using the vertical orientation only; 2) draw the numbers on top of the bars (the issue is locating the bars, of course); 3) extract the definition of the axes (scales,...

...f grobs wg <- lapply(lg, grobWidth) # list of grob widths hg <- lapply(lg, grobHeight) # list of grob heights widths.all <- do.call(unit.c, wg) heights.all <- do.call(unit.c, hg) widths <- colMax.units(widths.all, ncol) heights <- rowMax.units(heights.all, nrow) gcells = frameGrob(name="table.cells", vp = "cells", layout = grid.layout(nrow, ncol, just=just, widths = widths, heights = heights) ) label.ind <- 1 # index running for the vector of labels for (ii in seq(1, n...

Dear R-Help I have some trouble to set the legend in a xyplot into two rows. The code below gives me the legend in the layout I am looking for, I just rather have it in two rows. library(lattice) schluessel <- list( points=list( col="red", pch=19, cex=0.5 ), text=list(lab="John"), lines=list(col="blue"),

I find myself wanting to plot three graphs side by side 'as if' they were panels -- that is, with the same y-axis limits, no space between the graphs, and precise vertical alignment of the plot areas. However, I don't want strip titles; I want each graph to have its own x-axis label, on the bottom of the plot. The best way I have so far found to do this is to fake up a data frame that