plot.CompetingRiskFrailtySurvfit {CompetingRiskFrailty}R Documentation

Plots the Smoothed Varying Coefficients

Description

'plot.CompetingRiskFrailtySurvfit' is a proposed function for plotting of smooth components of the model, one plot for each baseline and covariate (or factor level) effect, for each competing risk.

Usage

## S3 method for class 'CompetingRiskFrailtySurvfit'
plot(x,...)

Arguments

x

object of class 'CompetingRiskFrailtySurvfit'.

...

additional plot parameters.

Details

All plots will be made in the device, which is specified by the user. One can use the object components for producing his own plots.

Author(s)

Pavel Khomski <pkhomski@wiwi.uni-bielefeld.de>

References

Kauermann G. and Khomski P. (2006). Full time or part time reemployment: a competing risk model with frailties and smooth effects using a penalty based approach, to appear.

See Also

print.CompetingRiskFrailtySurvfit

Examples

#pdf(file="myplot.pdf",h=12,w=12)
#layout(matrix(1:16,ncol=4,byrow=T),widths=c(4,4,4,4, 4,4,4,4, 4,4,4,4, 4,4,4,4))
#par(mar=c(2,2,3,1.5))
#plot(my.Survfit)
#dev.off()

[Package CompetingRiskFrailty version 2.0 Index]