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? Thanks, Stephen ______________________________________________ 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.
