Last data update: 2014.03.03

R: Class '"ENMevaluation"'
ENMevaluation-class R Documentation

Class "ENMevaluation"

Description

Objects of this class are generated by a call of ENMevaluate.

Objects from the Class

Objects can be created by calls of the form new("ENMevaluation", ...).

Slots

results:

Object of class "data.frame". The full results table.

predictions:

Object of class "RasterStack". Model predictions in geographic space.

models:

List of objects of class "MaxEnt" from the dismo package. Each of these entries include slots for lambda values and the original Maxent results table. See Maxent documentation for more information.

partition.method:

Object of class "character". Indicates the method used for data partitioning.

occ.pts:

Object of class "data.frame". The original presence coordinates.

occ.grp:

Object of class "numeric". The evaluation bin assignment for each occurrence point.

bg.pts:

Object of class "data.frame". The background coordinates used for analysis.

bg.grp:

Object of class "numeric". The evaluation bin assignment for each background point.

overlap:

Object of class "matrix". Niche overlap statistic between models of different settings.

Author(s)

Jamie M. Kass <jkass@gc.cuny.edu> and Robert Muscarella <bob.muscarella@gmail.com>

Examples

showClass("ENMevaluation")

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(ENMeval)
Loading required package: dismo
Loading required package: raster
Loading required package: sp
Loading required package: rJava
Loading required package: parallel
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ENMeval/ENMevaluation-class.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ENMevaluation-class 
> ### Title: Class '"ENMevaluation"'
> ### Aliases: ENMevaluation-class ENMevaluation
> ### Keywords: classes
> 
> ### ** Examples
> 
> showClass("ENMevaluation")
Class "ENMevaluation" [package "ENMeval"]

Slots:
                                                                          
Name:           results      predictions           models partition.method
Class:       data.frame      RasterStack             list        character
                                                                          
Name:           occ.pts          occ.grp           bg.pts           bg.grp
Class:       data.frame          numeric       data.frame          numeric
                       
Name:           overlap
Class:           matrix
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>