gplot.histogram: gplot histograms
In raredd/plotr: More plotting functions and examples

gplot.histogram

R Documentation

gplot histograms

Description

These are methods for objects of class "histogram", typically produced by ghist.

Usage

## S3 method for class 'histogram'
gplot(
  x,
  freq = equidist,
  density = NULL,
  angle = 45,
  col = "white",
  border = par("fg"),
  lty = NULL,
  main = paste("Histogram of", paste(x$xname, collapse = "\n")),
  sub = NULL,
  xlab = x$xname,
  ylab,
  xlim = range(x$breaks),
  ylim = NULL,
  axes = TRUE,
  labels = FALSE,
  add = FALSE,
  ann = TRUE,
  grid = TRUE,
  col.grid = "grey90",
  col.acc = "white",
  ...
)

Arguments

`x`	a `histogram` object, or a `list` with components `density`, `mid`, etc, see `hist` for information about the components of `x`.
`freq`	logical; if `TRUE`, the histogram graphic is to present a representation of frequencies, i.e, `x$counts`; if `FALSE`, relative frequencies (probabilities), i.e., `x$density`, are plotted. The default is true for equidistant `breaks` and false otherwise.
`angle, density`	select shading of bars by lines: see `rect`.
`col`	a colour to be used to fill the bars. The default has been changed from `NULL` (unfilled bars) only for R 4.2.0 for consistency with the change in `hist.default` for R 4.0.0.
`border`	the color of the border around the bars.
`lty`	the line type used for the bars, see also `lines`.
`main, sub, xlab, ylab`	these arguments to `title` have useful defaults here.
`xlim, ylim`	the range of x and y values with sensible defaults.
`axes`	logical, indicating if axes should be drawn.
`labels`	logical or character. Additionally draw labels on top of bars, if not `FALSE`; if `TRUE`, draw the counts or rounded densities; if `labels` is a `character`, draw itself.
`add`	logical. If `TRUE`, only the bars are added to the current plot. This is what `lines.histogram(*)` does.
`ann`	logical. Should annotations (titles and axis titles) be plotted?
`grid`	logical; if `TRUE`, a background grid will be drawn
`col.grid`	`grid` color
`col.acc`	`grid` accent color
`...`	further graphical parameters to `title` and `axis`.