With the following data:
Method Metric E0 E1 E2 E4
Method-XXX Precision 0.9661017 0.9622642 1 0.9655172
Method-YYY Precision 0.533 0.535
Following basically the same strategy used in this answer (and demo'd in the first example in the gridBase vignette (pdf)) you could use grid.text() to annotate the base graphics output.
library(gridBase)
## Function that plots barplots with x-axes annotated with slanted
ff <- function(x) {
barcols <- c("red","blue")
## Plot, suppressing the labels
bp <- barplot(matrix(dat[,x], nrow = 2, byrow = TRUE), xaxt = "n",
beside = TRUE, col = barcols)
title(main=names(dat[x]))
xaxislab <- c("Method-XXX", "Method-YYY", " Method-ZZZ",
"Method-XZZZ", " Method-XZZZY")
## Compute x-axis coordinate at center of each group
bp <- colMeans(bp)
## Use gridBase to compute viewport coordinates and
## grid to push/pop viewports and add the labels
vps <- baseViewports()
pushViewport(vps$inner, vps$figure, vps$plot)
grid.text(xaxislab,
x = unit(bp, "native"), y = unit(-0.5, "lines"),
just = "right", rot = 45, gp=gpar(cex=0.7))
popViewport(3)
}
## Apply it to your data
dat <- read.table("http://dpaste.com/1563769/plain/",header=TRUE)
layout(matrix(c(1,2,5,3,4,5),nrow=2,byrow = TRUE))
sapply(3:6, ff)
