Description Usage Arguments Value References See Also Examples
This function calculates an ROC dataframe of TPR, FPR, and Cost for a range of thresholds as well as the area under the ROC curve.
1 |
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 |
t2 |
used to classify |
n |
number of test thresholds in ROC curve |
List containing an roc
matrix and the auc
area under the ROC curve.
Receiver Operating Characteristic
skill_confusionMatrix
skill_ROCPlot
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ## 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')
t2 <- AQI$breaks_24[4] # 'Unhealthy'
rocList <- skill_ROC(Vallejo, Napa, t1Range = c(0,100), t2 = t2)
roc <- rocList$roc
auc <- rocList$auc
plot(roc$TPR ~ roc$FPR, type = 'S')
title(paste0('Area Under Curve = ', format(auc,digits = 3)))
}, silent = FALSE)
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.