On Sat, Jun 16, 2012 at 2:10 PM, Stephen Eglen <s.j.eg...@damtp.cam.ac.uk> wrote: > > A recent paper on visualisation (in Neuron, a leading neuroscience > journal) surveyed how well previous articles in this journal labelled their > graphs (e.g. axis labelling and describing their error bars). Of > particular interest is that (only) 40% of plots labelled what their > colorkey was showing (variable and units). > > The paper is at http://dx.doi.org/10.1016/j.neuron.2012.05.001 > > R is not yet that prominent (compared to matlab) in Neuroscience, so I > doubt many of the graphs were generated by levelplot() and friends. > However, how can the colorkey be labelled? I notice that this topic has > been raised before, e.g. > > http://tolstoy.newcastle.edu.au/R/e16/help/11/11/2281.html > > For now, I've done: > > library(lattice) > library(grid) > levelplot(matrix(1:9,3,3), > par.settings = list(layout.widths = list(axis.key.padding = 4))) > grid.text('title here', y=unit(0.5, "npc"), > rot=90, x=unit(0.88, "npc")) > > i.e. adding some space between levelplot and colorkey. The > x,y positions of the grid.text call need fine-tuning once the plot is > close to finalised. > > Does anyone have a better solution for vertical colorkeys? e.g. can the > plot objected be interrogated to work out what the central x,y value is?
This is slightly simpler: levelplot(matrix(1:9,3,3), ylab.right = "title here", par.settings = list(layout.widths = list(axis.key.padding = 0, ylab.right = 2))) There really should be a function allowing easy construction of complex legends combining simpler ones. There is currently only mergedTrellisLegendGrob in latticeExtra (not very robust) which can be used as follows: library(latticeExtra) p <- levelplot(matrix(1:9,3,3)) p$legend$right <- list(fun = mergedTrellisLegendGrob(p$legend$right, list(fun = textGrob, args = list("title here", rot = -90)), vertical = FALSE)) p -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.