Dear all,
I'm struggling with a plot and would value any help!
I'm attempting to highlight a histogram and density plot to show a
proportion of cases above a threshold value. I wanted to cross-hatch the
area below the density curve. The breaks and bandwidth are deliberate
integer values because of the type of data I'm looking at.
I've managed to do this, but I don't think it is very good! It would be
difficult, for example, to do a cross-hatch using this technique.
allele.plot <- function(x, threshold=NULL, hatch.col='black',
hatch.border=hatch.col, lwd=par('lwd'),...) {
h <- hist(x, breaks=max(x), plot=F)
d <- density(x, bw=1)
plot(d, lwd=lwd, ...)
if (!is.null(threshold)) {
d.t <- d$x>threshold
d.x <- d$x[d.t]
d.y <- d$y[d.t]
d.l <- length(d.x)
# draw all but first line of hatch
for (i in 2:d.l) {
lines(c(d.x[i],d.x[i]),c(0,d.y[i]),
col=hatch.col,lwd=1)
}
# draw first line in hatch border colour
lines(c(d.x[1],d.x[1]),c(0,d.y[1]),
col=hatch.border,lwd=lwd)
# and now re-draw density plot lines
lines(d, lwd=lwd)
}
}
# some pretend data
s8 = rnorm(100, 15, 5)
threshold = 19 # an arbitrary cut-off
allele.plot(s8, threshold, hatch.col='grey',hatch.border='black')
Is there a better way? As always, I'm sure there's a one-liner rather
than my crude technique!
Best wishes,
Mark
--
Dr. Mark Wardle
Clinical research fellow and specialist registrar, Neurology
University Hospital Wales and Cardiff University, UK
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