evalplot.stats {ENMeval} | R Documentation |
Plot evaluation statistics over tuning parameter ranges to visualize differences in performance
evalplot.stats( e, stats, x.var, color.var, dodge = NULL, error.bars = TRUE, facet.labels = NULL, metric.levels = NULL, return.tbl = FALSE )
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 |
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.
A ggplot of evaluation statistics.