plot.rocci: Plot ROC Curve with confidence limits

In ROCit: Performance Assessment of Binary Classifier with Visualization

Plot ROC Curve with confidence limits

Description

This function plots receiver operating characteristic (ROC) curve with confidence limits. This is an S3 method for object of class "rocci", returned by ciROC.rocit function.

Usage

## S3 method for class 'rocci'
plot(
  x,
  col = c("#2F4F4F", "#404040"),
  lty = c(1, 2),
  lwd = c(2, 1),
  grid = TRUE,
  legend = TRUE,
  legendpos = "bottomright",
  ... = NULL
)

Arguments

x	An object of class "rocci", returned by ciROC.rocit function.
col	Color(s) to be used for the plot. First two colors are used for the ROC curve and confidence limits if multiple colors supplied. Same color is used if single color supplied.
lty	The line type. Same as in par. First two or one are used (like col) depending on the length of lty.
lwd	The line width. Same as in par. First two or one are used (like col) depending on the length of lwd.
grid	Logical, indicating whether to add rectangular grid. Calls grid with default settings.
legend	Logical, indicating whether to add legends to the plot.
legendpos	Position of the legend. A single keyword from "bottomright", "bottom", "bottomleft", "left", "topleft", "top", "topright", "right" and "center", as in legend. Ignored if legend is FALSE.
...	NULL. Used for S3 generic/method consistency.

See Also

ciROC, rocit, plot.rocit

Examples

score <- c(rnorm(300,30,15), rnorm(300,50,15))
class <- c(rep(0,300), rep(1,300))
rocit_object <- rocit(score = score, class = class, method = "bi")
rocci_object <- ciROC(rocit_object)
# ---------------------------
plot(rocci_object)
plot(rocci_object, col = c(2,4))
plot(rocci_object, col = c(2,4), legendpos = "bottom", lty = c(1,3))

ROCit documentation built on May 29, 2024, 2:15 a.m.