CoefficientPlot: Plot estimated coefficients from LogisticRegression
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

This module plots the estimated coefficients from the LogisticRegression module and returns the summarised model object

1	CoefficientPlot(.model, .ras)

`.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.

The module outputs a point plot of coefficient estimates from the LogisticRegression module. Coefficients with a p-value <= 0.05 are identified on the graph. The summary glm object is returned in the console. This module is only implemented for the LogisticRegression model module.

presence/absence

0.3

2017-05-09

Liz Martin, emartin@student.unimelb.edu.au

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