PWFSLSmoke (version 1.2.100)

skill_ROCPlot: ROC Plot

Description

This function plots ROC curves for a variety of observed classification thresholds.

Usage

skill_ROCPlot(predicted, observed, t1Range = c(0, 100), t2s = seq(10,
  100, 10), n = 101, colors = grDevices::rainbow(length(t2s)))

Arguments

predicted

vector of predicted values (or a ws_monitor object with a single location)

observed

vector of observed values (or a ws_monitor object with a single location)

t1Range

lo and high values used to generate test thresholds for classifying predicted data

t2s

vector of thresholds used to classify observed data

n

number of test thresholds in ROC curve

colors

vector of colors used when plotting curves

References

Receiver Operating Characteristic

See Also

skill_confusionMatrix

skill_ROC

Examples

# NOT RUN {
# Napa Fires -- October, 2017
ca <- airnow_loadAnnual(2017) %>%
  monitor_subset(tlim = c(20171001,20171101), stateCodes = 'CA')
Vallejo <- monitor_subset(ca, monitorIDs = '060950004_01')
Napa <- monitor_subset(ca, monitorIDs = '060550003_01')
skill_ROCPlot(Vallejo, Napa)
# }