openintro (version 1.7.1)

histPlot: Histogram or hollow histogram

Description

Create histograms and hollow histograms. This function permits easy color and appearance customization.

Usage

histPlot(x,
    col = fadeColor("black", "22"), border = "black",
    breaks = "default", probability = FALSE,
    hollow = FALSE, add = FALSE, lty = 2, lwd = 1,
    freqTable=FALSE, right=TRUE, axes = TRUE,
    xlab = NULL, ylab = NULL, xlim = NULL, ylim = NULL,
    ...)

Arguments

x

Numerical vector or a frequency table (matrix) where the first column represents the observed values and the second column the frequencies. See also freqTable argument.

col

Shading of the histogram bins.

border

Color of histogram bin borders.

breaks

A vector for the bin boundaries or an approximate number of bins.

probability

If FALSE, the frequency is plotted. If TRUE, then a probability density.

hollow

If TRUE, a hollow histogram will be created.

add

If TRUE, the histogram is added to the plot.

lty

Line type. Applies only if hollow=TRUE.

lwd

Line width. Applies only if hollow=TRUE.

freqTable

Set to TRUE if x is a frequency table.

right

Set to FALSE to assign values of x that fall on a bin margin to the left bin. Otherwise the ties default to the right bin.

axes

If FALSE, the axes are not plotted.

xlab

Label for the x axis.

ylab

Label for the y axis.

xlim

Limits for the x axis.

ylim

Limits for the y axis.

…

Additional arguments to plot. If add is TRUE, these arguments are ignored.

See Also

boxPlot, dotPlot, densityPlot

Examples

# NOT RUN {
data(run10)
par(mfrow=c(2,2))
histPlot(run10$time)
histPlot(run10$time[run10$gender=='M'], probability=TRUE, xlim=c(30, 180),
	ylim=c(0, 0.025), hollow=TRUE)
histPlot(run10$time[run10$gender=='F'], probability=TRUE, add=TRUE,
	hollow=TRUE, lty=3, border='red')
legend('topleft', col=c('black', 'red'), lty=2:3, legend=c('M','F'))
histPlot(run10$time, col=fadeColor('yellow', '33'), border='darkblue',
	probability=TRUE, breaks=30, lwd=3)
brks <- c(40, 50, 60, 65, 70, 75, 80, seq(82.5, 120, 2.5), 125,
	130, 135, 140, 150, 160, 180)
histPlot(run10$time, probability=TRUE, breaks=brks,
	col=fadeColor('darkgoldenrod4', '33'))
# }