I\'m trying to use ggplot or base R to produce something like the following:
>
I think it's going to be difficult to get ggplot
to offset the histograms like that. At least with faceting it makes new panels, and really, this transformation makes the y-axis meaningless. (The value is in the comparison from row to row). Here's one attempt at using base graphics to try to accomplish a similar thing.
#plotting function
plotoffsethists <- function(vals, groups, freq=F, overlap=.25, alpha=.75, colors=apply(floor(rbind(col2rgb(scales:::hue_pal(h = c(0, 360) + 15, c = 100, l = 65)(nlevels(groups))),alpha=alpha*255)),2,function(x) {paste0("#",paste(sprintf("%02X",x),collapse=""))}), ...) {
print(colors)
if (!is.factor(groups)) {
groups<-factor(groups)
}
offsethist <- function (x, col = NULL, offset=0, freq=F, ...) {
y <- if (freq) y <- x$counts
else
x$density
nB <- length(x$breaks)
rect(x$breaks[-nB], 0+offset, x$breaks[-1L], y+offset, col = col, ...)
}
hh<-tapply(vals, groups, hist, plot=F)
ymax<-if(freq)
sapply(hh, function(x) max(x$counts))
else
sapply(hh, function(x) max(x$density))
offset<-(mean(ymax)*overlap) * (length(ymax)-1):0
ylim<-range(c(0,ymax+offset))
xlim<-range(sapply(hh, function(x) range(x$breaks)))
plot.new()
plot.window(xlim, ylim, "")
box()
axis(1)
Map(offsethist, hh, colors, offset, freq=freq, ...)
invisible(hh)
}
#sample call
par(mar=c(3,1,1,1)+.1)
plotoffsethists(my.data$V1, factor(my.data$V2), overlap=.25)