plot.rs.zph {relsurv} | R Documentation |
Graphical Inspection of Proportional Hazards Assumption in Relative Survival Models
Description
Displays a graph of the scaled partial residuals, along with a smooth curve.
Usage
## S3 method for class 'rs.zph':
plot(x, resid=TRUE, df = 4, nsmo = 40,var,cex=1,add=FALSE,col=1,lty=1,xlab,ylab,scale=1,...)
Arguments
x |
result of the rs.zph function.
|
resid |
a logical value, if TRUE the residuals are included on the
plot, as well as the smooth fit. |
df |
the degrees of freedom for the fitted natural spline, df=2
leads to a linear fit.
|
nsmo |
number of points used to plot the fitted spline.
|
var |
the set of variables for which plots are desired. By
default, plots are produced in turn for each variable of a
model. Selection of a single variable allows other features
to be added to the plot, e.g., a horizontal line at zero or a
main title.
|
cex |
a numerical value giving the amount by which plotting text
and symbols should be scaled relative to the default.
|
add |
logical, if TRUE the plot is added to an existing plot |
col |
a specification for the default plotting color. |
lty |
the line type. |
xlab |
x axis label. |
ylab |
y axis label. |
scale |
units for x axis, default is 1, i.e. days. |
... |
Additional arguments passed to the plot function. |
See Also
rs.zph
, plot.cox.zph
.
Examples
data(slopop)
data(rdata)
fit <- rsadd(Surv(time,cens)~sex+as.factor(agegr)+ratetable(age=age*365,sex=sex,year=year),
ratetable=slopop,data=rdata,int=5)
rszph <- rs.zph(fit)
plot(rszph)
[Package
relsurv version 1.1
Index]