plot-ZCurvesDataFrame-missing-method: Plot Zonation performance curves for individual features.

In cbig/zonator: Utilities for Zonation Spatial Conservation Prioritization Software

Description

Generic plotting function for plotting feature performance curves. The method does some data pre-processing specific to ZCurvesDataFrame object before passing the data and arguments for plot_curves.

Usage

## S4 method for signature 'ZCurvesDataFrame,missing'
plot(
  x,
  min = FALSE,
  mean = FALSE,
  w.mean = FALSE,
  ext = FALSE,
  subs = NULL,
  ...
)

Arguments

x	ZCurvesDataFrame object.
min	logical plot the minimum feature performance of a group (default: FALSE).
mean	logical plot the minimum feature performance of a group (default: FALSE). If no other statistic is used, mean will always be plotted. If other satistic(s) are plotted and mean is to be disabled, this will have to be done by setting mean explicitly to FALSE.
w.mean	logical plot the weighted mean feature performance of a group (default: FALSE).
ext	logical plot extinction risk of a group (default: FALSE).
subs	character vector defining the names of features (subset of all features) to be plotted.
...	Additional arguments passed on to plot_curves.

Note

If no other statistic is selected, mean will be set to TRUE and plotted.

Author(s)

Joona Lehtomaki [e-mail]

See Also

read_curves and plot_curves.

cbig/zonator documentation built on May 23, 2020, 7:02 a.m.