plot_small_metrics: Plot Small Sample Metrics

In estimators: Parameter Estimation

Plot Small Sample Metrics

Description

This function provides an easy way to illustrate the output of small_metrics(), using the ggplot2 package. A grid of line charts is created for each metric and sample size. Each estimator is plotted with a different color and linetype. The plot can be saved in pdf format.

Usage

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

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.

Value

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

See Also

small_metrics, large_metrics, plot_large_metrics

Examples

D <- 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)

estimators documentation built on May 29, 2024, 8:57 a.m.