SeparatePA: two graphs showing the probabilies for presence and absence...

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

Description

The module retrieves output from a presence-absence model and outputs a simple figure with kernel-density estimated histrograms (left) and a boxplot (right).

Usage

1
SeparatePA(.model, .ras)

Arguments

.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.

Details

Based on code in the dismo vignette

Data type

presence-only, presence/absence, presence/background

Version

0

Date submitted

2016-06-15

Author(s)

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

See Also

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


zoonproject/modules documentation built on May 4, 2019, 11:25 p.m.