ENMevaluation statistics plot — evalplot.stats • ENMeval

Plot evaluation statistics over tuning parameter ranges to visualize differences in performance

Usage

evalplot.stats(
  e,
  stats,
  x.var,
  color.var,
  dodge = NULL,
  error.bars = TRUE,
  facet.labels = NULL,
  metric.levels = NULL,
  return.tbl = FALSE
)

Arguments

e: ENMevaluation object
stats: character vector: names of statistics from results table to be plotted; if more than one statistic is specified, the plot will be faceted
x.var: character: variable to be plotted on x-axis
color.var: character: variable used to assign symbology colors
dodge: numeric: dodge width for points and lines; this improves visibility when there is high overlap (optional)
error.bars: boolean: if TRUE, plot error bars
facet.labels: character vector: custom names for the metric facets
metric.levels: character vector: custom factor levels for metrics; this controls the order that metric statistics are plotted
return.tbl: boolean: if TRUE, return the data frames of results used to make the ggplot instead of the plot itself

Value

A ggplot of evaluation statistics.

Details

In this plot, the x-axis represents a tuning parameter range, while the y-axis represents the average of a statistic over all partitions. Different colors represent the categories or values of another tuning parameter. Error bars represent the standard deviation of a statistic around the mean. Currently, this function can only plot two tuning parameters at a time.