Creates a histogram on the current graphics device.
truehist(data, nbins = "Scott", h, x0 = -h/1000,
breaks, prob = TRUE, xlim = range(breaks),
ymax = max(est), col = "cyan",
xlab = deparse(substitute(data)), bty = "n", ...)
numeric vector of data for histogram. Missing values (NA
s)
are allowed and omitted.
The suggested number of bins. Either a positive integer, or a character string
naming a rule: "Scott"
or "Freedman-Diaconis"
or "FD"
. (Case is
ignored.)
The bin width, a strictly positive number (takes precedence over nbins
).
Shift for the bins - the breaks are at x0 + h * (..., -1, 0, 1, ...)
The set of breakpoints to be used. (Usually omitted, takes precedence
over h
and nbins
).
If true (the default) plot a true histogram. The vertical axis has a relative frequency density scale, so the product of the dimensions of any panel gives the relative frequency. Hence the total area under the histogram is 1 and it is directly comparable with most other estimates of the probability density function. If false plot the counts in the bins.
The limits for the x-axis.
The upper limit for the y-axis.
The colour for the bar fill: the default is colour 5 in the default R palette.
label for the plot x-axis. By default, this will be the name of data
.
The box type for the plot - defaults to none.
A histogram is plotted on the current device.
This plots a true histogram, a density estimate of total area 1. If
breaks
is specified, those breakpoints are used. Otherwise if
h
is specified, a regular grid of bins is used with width
h
. If neither breaks
nor h
is specified,
nbins
is used to select a suitable h
.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.