skill_ROCPlot: ROC Plot

In MazamaScience/PWFSLSmoke: Utilities for Working with Air Quality Monitoring Data

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: 
# Fail gracefully if any resources are not available
try({

# 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)

}, silent = FALSE)

## End(Not run)

MazamaScience/PWFSLSmoke documentation built on July 3, 2023, 11:03 a.m.