plotBrier: Plot Brier curve

Description Usage Arguments Examples

View source: R/plotBrier.R

Description

Plot Brier score curves

Usage

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plotBrier(
  x,
  models,
  which = "score",
  xlim,
  ylim,
  xlab,
  ylab,
  col,
  lwd,
  lty = 1,
  cex = 1,
  pch = 1,
  type = "l",
  axes = 1L,
  percent = 1L,
  conf.int = 0L,
  legend = 1L,
  ...
)

Arguments

x

Object obtained with Score

models

Choice of models to plot

which

Character. Either "score" to show AUC or "contrasts" to show differences between AUC.

xlim

Limits for x-axis

ylim

Limits for y-axis

xlab

Label for x-axis

ylab

Label for y-axis

col

line color

lwd

line width

lty

line style

cex

point size

pch

point style

type

line type

axes

Logical. If TRUE draw axes.

percent

Logical. If TRUE scale y-axis in percent.

conf.int

Logical. If TRUE draw confidence shadows.

legend

Logical. If TRUE draw legend.

...

Used for additional control of the subroutines: plot, axis, lines, legend. See SmartControl.

Examples

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# survival
library(survival)
library(prodlim)
ds1=sampleData(40,outcome="survival")
ds2=sampleData(40,outcome="survival")
f1 <- coxph(Surv(time,event)~X1+X3+X5+X7+X9,data=ds1,x=TRUE)
f2 <- coxph(Surv(time,event)~X2+X4+X6+X8+X10,data=ds1,x=TRUE)
xscore <- Score(list(f1,f2),formula=Hist(time,event)~1,data=ds2,times=0:12,metrics="brier")
plotBrier(xscore)

Example output

Loading required package: data.table
Loading required package: ggplot2
Loading required package: prodlim
riskRegression version 2019.01.29

riskRegression documentation built on Jan. 13, 2021, 11:12 a.m.