plot_large_metrics: Plot Large Sample Metrics

Description

This function provides an easy way to illustrate the output of large_metrics(), using the ggplot2 package. A grid of line charts is created for each element of the asymptotic variance - covariance matrix. Each estimator is plotted with a different color and linetype. The plot can be saved in pdf format.

Usage

plot_large_metrics(
  x,
  colors = NULL,
  title = NULL,
  save = FALSE,
  path = getwd(),
  name = "myplot.pdf",
  width = 15,
  height = 8
)

Value

The plot is returned invisibly in the form of a ggplot object.

Arguments

x: A data.frame. The result of small_metrics().
colors: character. The colors to be used in the plot.
title: character. The plot title.
save: logical. Should the plot be saved?
path: A path to the directory in which the plot will be saved.
name: character. The name of the output pdf file.
width: numeric. The plot width in inches.
height: numeric. The plot height in inches.

Examples

Run this code

# \donttest{
D <- distr::Beta(shape1 = 1, shape2 = 2)

prm <- list(name = "shape1",
            pos = NULL,
            val = seq(0.5, 2, by = 0.5))

x <- small_metrics(D, prm,
                   est = c("mle", "me", "same"),
                   obs = c(20, 50),
                   sam = 1e2,
                   seed = 1)

plot_small_metrics(x)
# }

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