openintro (version 1.3)

densityPlot: Density plot

Description

Compute kernel density plots, written in the same structure as boxPlot. Histograms can be automatically added for teaching purposes.

Usage

densityPlot(x, fact = NULL, bw = "nrd0",
	histo = c("none", "faded", "hollow"),
	breaks = "Sturges", fading = "0E", fadingBorder = "25",
	lty = NULL, lwd = 1, col = c("black", "red", "blue"),
	key = NULL, add = FALSE, adjust = 1,
	kernel = c("gaussian", "epanechnikov", "rectangular",
		"triangular", "biweight", "cosine", "optcosine"),
	weights = NULL, n = 512, from, to, na.rm = FALSE,
	xlim = NULL, ylim = NULL, main = "", ...)

Arguments

x
A numerical vector.
fact
A character or factor vector defining the grouping for data in x.
bw
Bandwidth. See density.
histo
Whether to plot a faded histogram ('faded') or hollow histogram ('hollow') in the background. By default, no histogram will be plotted.
breaks
The breaks argument for histPlot if histo is 'faded' or 'hollow'.
fading
Character value of hexadecimal, e.g. '22' or '5D', describing the amount of fading inside the rectangles of the histogram if histo='faded'.
fadingBorder
Character value of hexadecimal, e.g. '22' or '5D', describing the amount of fading of the rectangle borders of the histogram if histo is 'faded' or 'hollow'.
lty
Numerical vector describing the line type for the density curve(s). Each element corresponds to a different level of the argumentfact.
lwd
Numerical vector describing the line width for the density curve(s). Each element corresponds to a different level of the argumentfact.
col
Numerical vector describing the line color for the density curve(s). Each element corresponds to a different level of the argumentfact.
key
An argument to specify ordering of the factor levels.
add
If TRUE, the density curve is added to the plot.
adjust
Argument passed to density to adjust the bandwidth.
kernel
Argument passed to density to select the kernel used.
weights
Argument passed to density to weight observations.
n
Argument passed to density to specify the detail in the density estimate.
from
Argument passed to density specifying the lowest value to include in the density estimate.
to
Argument passed to density specifying the largest value to include in the density estimate.
na.rm
Argument passed to density specifying handling of NA values.
xlim
x-axis limits.
ylim
y-axis limits.
main
Title for the plot.
...
If add=FALSE, then additional arguments to plot.

See Also

histPlot, dotPlot, boxPlot

Examples

Run this code
data(tips)
par(mfrow=c(2,2))
histPlot(tips$tip[tips$day == 'Tuesday'], hollow=TRUE, xlim=c(0, 30),
	lty=1, main='Tips by day')
histPlot(tips$tip[tips$day == 'Friday'], hollow=TRUE, border='red',
	add=TRUE, main='Tips by day')
legend('topright', col=c('black', 'red'), lty=1:2,
	legend=c('Tuesday', 'Friday'))
densityPlot(tips$tip, tips$day, col=c('black', 'red'), main='Tips by day')
legend('topright', col=c('black', 'red'), lty=1:2,
	legend=c('Tuesday', 'Friday'))
data(run10)
densityPlot(run10$time, histo='faded', breaks=15, main='Run time')
densityPlot(run10$time, histo='hollow', breaks=30, fadingBorder='66',
	lty=1, main='Run time')

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