gghistogram: Histogram with optional normal and kernel density functions

In pli2016/forecast: Forecasting Functions for Time Series and Linear Models

Description

Plots a histogram and density estimates using ggplot.

Usage

gghistogram(x, add.normal=FALSE, add.kde=FALSE, add.rug=TRUE, bins, boundary=0)

Arguments

x	a numerical vector.
add.normal	Add a normal density function for comparison
add.kde	Add a kernel density estimate for comparison
add.rug	Add a rug plot on the horizontal axis
bins	The number of bins to use for the histogram. Selected by default using the Friedman-Diaconis rule given by nclass.FD
boundary	A boundary between two bins.
...	Not used (for consistency with lag.plot)

Value

None.

Author(s)

Rob J Hyndman

See Also

hist, geom_histogram

Examples

gghistogram(lynx, add.kde=TRUE)

pli2016/forecast documentation built on May 25, 2019, 8:22 a.m.