plot.jointPenal {frailtypack} | R Documentation |
Plot Method for a Joint frailty model.
Description
Plots estimated baseline survival and hazard functions of a joint frailty model (output from an object of class 'JointPenal' for joint frailty models ) for each type of event (terminal or recurrent). Confidence bands are allowed.
Usage
## S3 method for class 'jointPenal'
plot(x, event = "Both", type.plot = "Hazard", conf.bands
= FALSE, pos.legend="topright", cex.legend = 0.7, ylim, main, color = 2, median=TRUE,
Xlab = "Time", Ylab = "Hazard function", ...)
Arguments
x |
A joint model, i.e. an object of class |
event |
a character string specifying the type of curve. Possible value are "Terminal", "Recurrent", or "Both". The default is "Both". |
type.plot |
a character string specifying the type of curve. Possible value are "Hazard", or "Survival". The default is "Hazard". Only the first letters are required, e.g "Haz", "Su" |
conf.bands |
logical value. Determines whether confidence bands will be plotted. The default is to do so. |
pos.legend |
The location of the legend can be specified by setting this argument to a single keyword from the list '"bottomright"', '"bottom"', '"bottomleft"', '"left"', '"topleft"', '"top"', '"topright"', '"right"' and '"center"'. The default is '"topright"' |
cex.legend |
character expansion factor *relative* to current 'par("cex")'. Default is 0.7 |
ylim |
y-axis limits |
main |
plot title |
color |
curve color (integer) |
median |
Logical value. Determines whether survival median will be plotted. Default is TRUE. |
Xlab |
Label of x-axis. Default is '"Time"' |
Ylab |
Label of y-axis. Default is '"Hazard function"' |
... |
other unused arguments |
Value
Print a plot of the baseline survival or hazard functions for each type of event or both with the confidence bands or not (conf.bands argument)
See Also
Examples
## Not run:
data(readmission)
#-- Gap-time
modJoint.gap <- frailtyPenal(Surv(time,event)~cluster(id)+sex+dukes+
charlson+terminal(death),formula.terminalEvent=~sex+dukes+charlson,
data=readmission,n.knots=14,kappa=c(100,100))
#-- It takes around 1 minute to converge --#
plot(modJoint.gap,type.plot="Haz",event="recurrent",conf.bands=TRUE)
plot(modJoint.gap,type.plot="Haz",event="terminal",conf.bands=TRUE)
plot(modJoint.gap,type.plot="Haz",event="both",conf.bands=TRUE)
plot(modJoint.gap,type.plot="Su",event="recurrent",conf.bands=TRUE)
plot(modJoint.gap,type.plot="Su",event="terminal",conf.bands=TRUE)
plot(modJoint.gap,type.plot="Su",event="both",conf.bands=TRUE)
## End(Not run)