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.

[Package *ENMeval* version 2.0.4 Index]