rocplot: Calculate and show ROC curve
In january3/myfuncs: loads a few functions I often need

Description Usage Arguments Details Value

View source: R/confuMat.R View source: R/rocplot.R

Calculate and show ROC curve

ROC figure using pROC package

rocplot(ret, title = "ROC", file = NULL, confmat = TRUE, ci = TRUE,
  positive.name = NULL, add = FALSE, ...)

rocplot(ret, title = "ROC", file = NULL, confmat = TRUE, ci = TRUE,
  positive.name = NULL, add = FALSE, ...)

`reality`	a vector of responses (two possible values)
`predictor`	a vector predicting the response (numeric)
`decision`	a vector of predicted responses (same values as response)

Calculate and show ROC curve

This is a wrapper around the roc function from the pROC package. It plots the ROC curve, but additionally it also can add information on the confidence interval and a confusion matrix.

rocplot invisibly returns the return value of the roc call

whatever the roc() function returns

january3/myfuncs documentation built on April 1, 2020, 4:42 a.m.