crskdiag (version 1.0.1)

plot.diagprop: Plot diagprop object

Description

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

Usage

"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)