ROCcurve: an ROC-curve with the AUC value plotted in the title
In zoonproject/modules: Species Distribution Modelling Code Modules for the ZOON Package

Description Usage Arguments Details Data type Version Date submitted Author(s) See Also

The module retrieves output from a presence only, or presence-absence model and outputs an ROC-curve with the AUC-value above it it uses the evaluate function from dismo.

1	ROCcurve(.model, .ras, newwin = FALSE)

`.model`	Internal parameter, do not use in the workflow function. `.model` is list of a data frame (`data`) and a model object (`model`). `.model` is passed automatically in workflow, combining data from the model module(s) and process module(s), to the output module(s) and should not be passed by the user.
`.ras`	Internal parameter, do not use in the workflow function. `.ras` is a raster layer, brick or stack object. `.ras` is passed automatically in workflow from the covariate module(s) to the output module(s) and should not be passed by the user.
`newwin`	logical indicator (default: true) to specify whether the plot should be made in a new window

The module writes the ROC-plot to whatever is opened by dev.new() this can be changed to plot in the current output device by setting the option newwin=FALSE

presence-only, presence/absence, presence/background

0.1

2016-06-15

E.E. van Loon, e.e.vanloonD@uva.nl

Other output: AIC, AUC, Appify, CoefficientPlot, CovHistograms, DataSummary, Deviance, GenerateCovariateReport, InteractiveCovariateMap, InteractiveMap, InteractiveOccurrenceMap, NoOutput, PairPlot, PerformanceMeasures, PredictNewRasterMap, PrintMap, PrintOccurrenceMap, ReliabilityPlot, ResponseCurveViz, ResponseCurve, ResponsePlot, SameTimePlaceMap, SeparatePA, SurfaceMap, VariableImportance