compact_hist: Plots a histogram using the compact axis notation from the...

In carlislerainey/separation: Using informative priors to deal with separation in logistic regression models

Description

compact_hist() plots a histogram using the compact axis notation from the compactr package.

Usage

compact_hist(x, xlab = NULL, ylab = NULL, n_breaks = NULL, ht = NULL,
  xlim = NULL, counts = TRUE, bar_color = "grey70", log_scale = FALSE,
  plot = TRUE, ...)

Arguments

x	A vector of values for which the histogram is desired.
xlab	A label for the x axis. Defaults to no label.
ylab	A label for the y axis. Defaults to "Counts" if counts = TRUE and "Density" if counts = FALSE.
n_breaks	one of: A single number giving the number of cells for the histogram. A character string naming an algorithm to compute the number of cells. Defaults to "Sturges." See documentation for hist() for details and other algorithms. A vector giving the breakpoints between histogram cells. A function to compute the vector of breakpoints. A function to compute the number of cells.
ht	The height of the y axis.
xlim	The limits of the x axis.
counts	Logical; should the heights be counts. If FALSE, then probabilities are used instead.
bar_color	The color of the bars. Defaults to "grey70".
log_scale	Logical; should the x axis be plotted on the log scale? Defaults to FALSE.
plot	Logical. Should the histgram be plotted? If FALSE, the histogram is not plotted and the data for the histogram are returned.
...	Arguments passed to eplot() in the package compactr.

Details

Plots a histogram using the compact axis notation from the compactr package.

carlislerainey/separation documentation built on May 13, 2019, 12:45 p.m.