plotROC: Plot ROC curve

Description Usage Arguments Value Author(s) Examples

View source: R/plotROC.R

Description

Plot the ROC curve of the given model and print the AUC value.

Usage

1
plotROC(model, test = NULL)

Arguments

model

SDMmodel object.

test

SWD object. The testing dataset, default is NULL.

Value

A ggplot object.

Author(s)

Sergio Vignali

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
# Acquire environmental variables
files <- list.files(path = file.path(system.file(package = "dismo"), "ex"),
                    pattern = "grd", full.names = TRUE)
predictors <- raster::stack(files)

# Prepare presence and background locations
p_coords <- virtualSp$presence
bg_coords <- virtualSp$background

# Create SWD object
data <- prepareSWD(species = "Virtual species", p = p_coords, a = bg_coords,
                   env = predictors, categorical = "biome")

# Split presence locations in training (80%) and testing (20%) datasets
datasets <- trainValTest(data, test = 0.2, only_presence = TRUE)
train <- datasets[[1]]
test <- datasets[[2]]

# Train a model
model <- train(method = "Maxnet", data = train, fc = "l")

# Plot the training ROC curve
plotROC(model)

# Plot the training and testing  ROC curves
plotROC(model, test = test)

SDMtune documentation built on July 17, 2021, 9:06 a.m.