plot_ggm: Plot the results of a Gaussian graphical model experiment
In irenecrsn/ggmexp: Utilities for Experiments in Gaussian Graphical Models

Description Usage Arguments Details Value

Plot the results of a Gaussian graphical model experiment

Plot a comparison of the results of different Gaussian graphical model experiments

plot_experiment(
  p,
  d,
  r,
  N,
  map = function(x) {     return(x) },
  reduce,
  show_sd = FALSE,
  ename,
  plot_title = "",
  plot_ylab = "",
  ...
)

plot_comparison(
  p,
  d,
  r,
  N,
  map = function(x) {     return(x) },
  reduce,
  ename,
  show_sd = FALSE,
  plot_title = "",
  plot_ylab = "",
  ...
)

`p`	Vector of dimensions that have been tested.
`d`	Vector of densities that have been tested.
`r`	Number of replications for the experiment.
`N`	Vector of number of samples obtained in each atomic experiment.
`map`	Function that will map the values obtained from each atomic experiment for each sample.
`reduce`	Function that will reduce the previously mapped results from each sample, yielding a single value for each atomic experiment.
`show_sd`	Whether to show the standard deviation for 'map' function.
`ename`	Name of the atomic experiment that has been executed, for [plot_experiment()], or vector of atomic experiments to compare in the case of [plot_comparison()]
`plot_title`	Optional title for the plot.
`plot_ylab`	Optional text for the Y values.
`...`	Additional arguments for 'map'.

Function [plot_experiment()] plots the results from a previously executed experiment related to a Gaussian graphical model. It expects the results stored in the same format as [excute()] stores them.

Function [plot_comparison()] is similar to [plot_experiment()], but instead of focusing on all the results of a single experiment, it compares the results over several experiments in a fixed scenario. Therefore, either 'p' or 'd' must be a scalar, and the 'X' axis in the generated plot will range over the values of the one that is a vector.

The generated plot.

irenecrsn/ggmexp documentation built on Feb. 1, 2020, 4:20 a.m.