plot.diagprop: Plot diagprop object

In crskdiag: Diagnostics for Fine and Gray Model

Description

Plots the observed and simulated cumulative sums of residuals in testing the proportionality assumption for the fitted Fine and Gray model.

Usage

## S3 method for class 'diagprop'
plot(x, col = c("red", "black"), lty = c(1, 2), lwd = c(2, 1), txt.pos=c(0.85,0.1), 
		lgd.pos="topright", xlim=NULL, ylim=NULL, select=NULL, ...)

Arguments

x	a diagprop object.
col	colors of the plots. The first element is used for observed process, and the second element is used for simulated processes.
lty	line types of the plots. The first element is used for observed process, and the second element is used for simulated processes.
lwd	line widths of the plots. The first element is used for observed process, and the second element is used for simulated processes.
txt.pos	the horizontal and vertical positions of the p-value. The assigned numbers represents the percentage in the x-y panel.
lgd.pos	the position of the legend.
xlim	the x limitation of the plots
ylim	the y limitation of the plots
select	the covariate needs to be plotted. Valid value is an integer from 1 to the number of covariates plus 1. For example, if the number of covariates is 3, then 1, 2, 3 indicates the plots of checking corresponding covariates in the formula, and 4 indicates the plot of checking the link function. Multiple values are allowed
...	additional arguments to plot()

See Also

diag_prop, print.diagprop

Examples

library(crskdiag)
data(dat2)
out2 <- diag_crr(Crsk(time,cause)~z1+z2,data=dat2,test="prop",seed=1234)
plot(out2)

Example output

Loading required package: cmprsk
Loading required package: survival

crskdiag documentation built on May 1, 2019, 10:53 p.m.