plot.riskRegression: Plotting predicted risk

In riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks

Plotting predicted risk

Description

Show predicted risk obtained by a risk prediction model as a function of time.

Usage

## S3 method for class 'riskRegression'
plot(x,
  cause,
  newdata,
  xlab,
  ylab,
  xlim,
  ylim,
  lwd,
  col,
  lty,
  axes=TRUE,
  percent=TRUE,
  legend=TRUE,
  add=FALSE,
  ...)

Arguments

x	Fitted object obtained with one of ARR, LRR, riskRegression.
cause	For CauseSpecificCox models the cause of interest.
newdata	A data frame containing predictor variable combinations for which to compute predicted risk.
xlab	See plot
ylab	See plot
xlim	See plot
ylim	See plot
lwd	A vector of line thicknesses for the regression coefficients.
col	A vector of colors for the regression coefficients.
lty	A vector of line types for the regression coefficients.
axes	Logical. If FALSE then do not draw axes.
percent	If true the y-axis is labeled in percent.
legend	If true draw a legend.
add	Logical. If TRUE then add lines to an existing plot.
...	Used for transclusion of smart arguments for plot, lines, axis and background. See function SmartControl from prodlim.

Author(s)

Thomas Alexander Gerds <[e-mail]>

Examples

library(survival)
library(prodlim)
data(Melanoma)
fit.arr <- ARR(Hist(time,status)~invasion+age+strata(sex),data=Melanoma,cause=1)
plot(fit.arr,xlim=c(500,3000))

riskRegression documentation built on May 29, 2024, 10:59 a.m.