Plot one metric versus another for each method

This function is used when both evaluated metrics are vector-valued, so a curve is plotted, parametrized by the two metrics. To plot a single metric that is vector-valued, pass NULL for metric_name_x. This behaves similarly to plot(runif(5)), in which the x-axis variable is simply 1:5. If evals is a listofEvals, then each model will be its own plot.

Usage

plot_evals(
  object,
  metric_name_x,
  metric_name_y,
  use_ggplot2 = TRUE,
  main,
  facet_mains,
  xlab,
  ylab,
  xlim,
  ylim,
  include_zero = FALSE,
  legend_location = "topright",
  method_col = seq(num_methods),
  method_lty = rep(1, num_methods),
  method_lwd = rep(1, num_methods),
  method_pch = rep(NA, num_methods),
  ...
)

Arguments

object: an object of class Simulation, Evals, or listofEvals
metric_name_x: the name of metric to plot on x axis (or NULL)
metric_name_y: the name of metric to plot on y axis
use_ggplot2: whether to use ggplot2 (requires installation of ggplot2)
main: title of plot. Default is model_label when evals is a single Evals.
facet_mains: only to be used when evals is a listofEvals and should be of the same length. Default will be the model_label for each model.
xlab: the x-axis label (default is metric_label_x)
ylab: the y-axis label (default is metric_label_y)
xlim: the limits of the x-axis
ylim: the limits of the y-axis
include_zero: whether ylim should include 0. Ignored if ylim is passed explicitly
legend_location: location of legend. Set to NULL to remove legend.
method_col: color to use for each method
method_lty: line style to use for each method
method_lwd: line thickness to use for each method
method_pch: point style to use for each method (default is that no points, only lines are drawn)
...: additional arguments to pass to boxplot (only when use_ggplot2 = FALSE).