roc.plot.ade: ROC-curves plot

In epade: Easy Plots

ROC-curves plot

Description

Function to plot ROC curves with AUC calculation

Usage

roc.plot.ade(pred, event, group=NULL, data=NULL, vnames=NULL,
             main="", xlab="1-Specificity", ylab="Sensitivity",
             digits=3, pdigs=4, lty=1, lwd=2,
             col=NULL, tcol=NULL, bgcol=NULL,
             wall=0, test=FALSE, CC=TRUE, auc=TRUE, diag=TRUE, spec=FALSE)

Arguments

pred	a list of numeric predictor variables a vector of character strings with the names of the predictors in data.frame
event	a numeric event variable a character strings with the names of event variable in data.frame
group	a factor to group the curves a character strings with the names of factor variable in data.frame
data	data.frame if used character string for (pred,event,group)
vnames	a vector of character strings with the names of groups in the legend
main	an overall title for the plot
xlab	a title for the x axis
ylab	a title for the y axis
digits	how many significant digits are to be shown for AUC
pdigs	a number indicate how to round p-values.: see ?format.pval.ade
lty	a single line type or a vector og line types
lwd	the line width
col	a vector of colors for each curve
tcol	color of the text in whole plot
bgcol	the background color for plot dekoration
wall	a number between 0 and 6 for selection the dekoration style of the plot.
test	logical asking whether to test for the difference between curves
CC	logical asking whether to use complete cases for all curves
auc	logical asking whether to draw AUC in legend
diag	logical asking whether to plot a diagonal line
spec	logical asking whether to draw a axis for Specificity at top.

Details

if test is TRUE the function perform a DeLong-DeLong test for correlated ROC-curves

Examples

# simple curve
event<-rbinom(1000, size=1, prob=0.3)
pred <- event+rnorm(1000)
roc.plot.ade(pred, event)
# grouped
group=rbinom(1000, 1 ,0.5)
roc.plot.ade(pred, event, group, wall=2)
# comparison of two predictors
pred2 <- event+rnorm(1000, 0, 2)
roc.plot.ade(list(pred, pred2), event, test=TRUE, wall=3)

epade documentation built on Oct. 29, 2022, 1:14 a.m.