plot_density: Produce a 1D density/histogram plot given data values 'x'.

In svdataman/tonic: Generate and test MCMC output using RW-MH or Goodman-Weare methods

Description

plot_density generates a 1D density/histogram plot.

Usage

plot_density(x, breaks = 30, xlim, prob = NULL, smooth = FALSE,
  fill.col = "steelblue", plot.lines = TRUE, logx = FALSE,
  xlab = "", ylab = "", main = "", ...)

Arguments

x	(vector) x data values.
breaks	(integer) how many bins for 1D histograms
xlim	(vector) The limits of the x axis (x1, x2).
fill.col	(string) Colour to use under the histogram.
logx	(logical) produce density of log(variable)?
xlab, ylab	(strings) Labels for x, y axes.
...	(anything) any other graphical keywords to be passed to plot(...)

Details

Produce a single histogram or density plot, for use with contour_matrix.

Value

None.

See Also

chain_convergence, contour_matrix

Examples

n <- 1000
x <- rnorm(n)
y <- x + rnorm(n)
img <- hist2d(x, y, npix = 40)
junk <- plot_density(x, xlim = c(-4, 4))
junk <- plot_density(x, xlim = c(-4, 4), smooth = TRUE)
axis(1)

svdataman/tonic documentation built on Aug. 2, 2019, 3:21 p.m.