plot.fit.hgld: Plot the Hurdle Generalized Lambda Distribution

In dmarcondes/HGLD: Fit the Hurdle Generalized Lambda Distribution

Description

Density plot of the fit given by an object of class fit.hgld.

Usage

## S3 method for class 'fit.hgld'
plot(x, histogram = TRUE, hcolor = "white",
  hfill = "black", bins = 50, dcolor = c("black", "red"),
  dtype = c("solid", "solid"), xlab = "Data", ylab = "Density", ...)

Arguments

x	A fit.hgld object.
histogram	Logical. Whether the estimated density must be superimposed by the data histogram.
hcolor	Color of the histogram.
hfill	Color to fill the histogram.
bins	Number of histogram bins.
dcolor	Color of the RS and fmkl density plot.
dtype	Type of the RS and fmkl density line.
xlab	Label of the x-axis.
ylab	Label of the y-axis.
...	Arguments to be passed to methods.

Details

The density may be plotted by itself or superimposed by the data histogram. Plot only the non-zero data values.

Value

RS	ggplot plot of the fitted RS GLD.
fmkl	ggplot plot of the fitted fmkl GLD.
RF	ggplot plot of the fitted RS and fmkl GLD on the same plot.

References

Marcondes, D.; Peixoto, C.; Maia, A. C.; A Survey of a Hurdle Model for Heavy-Tailed Data Based on the Generalized Lambda Distribution. (2017) arxiv1712.02183

Examples

set.seed(100)
data <- healthcare[sample(1:nrow(healthcare),50),]
fit <- fit.hgld(data$log_expense)
plot(fit)

#mixture
set.seed(100)
data <- c(rcauchy(20,location = 10),rep(0,10),rcauchy(20))
fit <- fit.hgld(data = data,mixture = TRUE)
plot(fit)

dmarcondes/HGLD documentation built on May 28, 2019, 12:56 p.m.