riskRegression: plot.riskRegression – R documentation

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riskRegression

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,
  ...)

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 <tag@biostat.ku.dk>

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

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

v2020.12.08

GPL (>= 2)

Authors

Thomas Alexander Gerds [aut, cre], Paul Blanche [ctb], Rikke Mortensen [ctb], Marvin Wright [ctb], Nikolaj Tollenaar [ctb], John Muschelli [ctb], Ulla Brasch Mogensen [ctb], Brice Ozenne [aut] (<https://orcid.org/0000-0001-9694-2956>)

Initial release

plot.riskRegression

Description

Usage

Arguments

Author(s)

Examples

riskRegression

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