histlines {broman} | R Documentation |
Utility function to plot histogram with graphics::lines()
.
histlines(x, y = NULL, breaks, use = c("counts", "density"))
x |
Either vector of breaks or the data itself. |
y |
Optional vector of density/counts, with length = |
breaks |
Breaks for histogram, if |
use |
Whether to use |
If x
and y
are both provided, x
is interpreted to
be the breaks for a histogram, and y
is a vector of counts or
density values for each interval. These are then revised so that they
may be plotted with graphics::lines()
.
If y
is NULL, x
is taken to be the data. In this
case graphics::hist()
is called with breaks=breaks
, and
either the counts
or density
are used as y
.
A data.frame with two columns: x
and y
.
graphics::hist()
, graphics::lines()
x <- rnorm(1000, mean=20, sd=5)
# basic use
out <- hist(x, breaks=60, plot=FALSE)
plot(histlines(out$breaks, out$counts),
type="l", lwd=2, xlab="x", ylab="counts", las=1)
# alternative use
plot(histlines(x, breaks=60, use="density"),
type="l", lwd=2, xlab="x", ylab="Density", las=1)
# comparing two distributions
z <- rnorm(1000, mean=25, sd=5)
br <- seq(min(c(x,z)), max(c(x,z)), len=50)
xlines <- histlines(x, breaks=br, use="density")
zlines <- histlines(z, breaks=br, use="density")
ymx <- max(c(xlines$y, zlines$y))*1.05
plot(xlines, ylim=c(0, ymx), yaxs="i", xaxs="i",
type="l", lwd=2, xlab="x", ylab="Density", las=1,
col="blue")
lines(zlines, lwd=2 , col="red")