riskRegression (version 1.1.1)

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

xlim

See plot

ylim

See plot

xlab

See plot

ylab

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.

Examples

library(pec)
library(prodlim)
data(Melanoma)

fit.arr <- ARR(Hist(time,status)~invasion+age+strata(sex),data=Melanoma,cause=1)
plot(fit.arr)

fit.csc <- CSC(Hist(time,status)~invasion+age+sex,data=Melanoma,cause=1)
plot(fit.csc)