roc_plot: Receiver Operating Characteristic curve

In Rkabacoff/qacReg: Multiple Regression and Logistic Regression

Receiver Operating Characteristic curve

Description

Plot a receiver operating characteristic curve for a binary predictive model

Usage

roc_plot(actual, prob, positive, n.cuts = 20, labelsize = 3, digits = 2)

Arguments

actual	actual class.
prob	predicted probability for the target class
positive	label for the target class
n.cuts	number of probability cut-points to plot
labelsize	size of cutpoint labels
digits	number of decimal digits in the cutpoint labels

Value

a ggplot2 graph

Examples

# logistic regression
fit <- glm(caesarian ~ ., family=binomial, caesarian)
prob <- predict(fit, newdata=caesarian, type="response")
roc_plot(caesarian$caesarian, prob, positive="yes")

Rkabacoff/qacReg documentation built on Aug. 1, 2022, 11:11 p.m.