plot.rs.zph: Graphical Inspection of Proportional Hazards Assumption in...

In relsurv: Relative Survival

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,
  xscale = 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.
xscale	units for x axis, default is 1, i.e. days.
...	Additional arguments passed to the plot function.

References

Goodness of fit: Stare J.,Pohar Perme M., Henderson R. (2005) "Goodness of fit of relative survival models." Statistics in Medicine, 24: 3911-3925.

Package: Pohar M., Stare J. (2006) "Relative survival analysis in R." Computer Methods and Programs in Biomedicine, 81: 272-278.

Relative survival: Pohar, M., Stare, J. (2007) "Making relative survival analysis relatively easy." Computers in biology and medicine, 37: 1741-1749, 2007.

See Also

rs.zph, plot.cox.zph.

Examples

data(slopop)
data(rdata)
fit <- rsadd(Surv(time,cens)~sex+as.factor(agegr),rmap=list(age=age*365.241),
             ratetable=slopop,data=rdata,int=5)
rszph <- rs.zph(fit)
plot(rszph)

relsurv documentation built on Dec. 28, 2022, 2:25 a.m.