dpasurv (version 0.1.0)

plot.effect: Plot effects from dynamic path analysis along with bootstrap confidence bands

Description

plotting method for class "effect"

Usage

# S3 method for effect
plot(x, relative = FALSE, ...)

Value

this function does not return anything, but simply plots the associated effect encoded in the object x

Arguments

x

object of class "effect"

relative

should the effect be plotted on a relative survival scale (i.e. `y=exp(-effect)`)?. Defaults to FALSE.

...

other graphical parameters passed to the graphics::plot function.

Examples

library(dpasurv)

data(simdata)

set.seed(1)

# Perform dynamic path analysis:
# We set boot.n=30 for the example to run fast, should be set large enough
# so that results don't change meaningfully for different seeds.
s <- dpa(Surv(start,stop,event)~M+x, list(M~x), id="subject", data=simdata, boot.n=30)

direct <- effect(x ~ outcome, s)
indirect <- effect(x ~ M ~ outcome, s)
total <- sum(direct, indirect)

par(mfrow=c(1,3))
layout1x3 <- par(mfrow=c(1,3))
plot(direct); abline(h=0, lty=2, col=2)
plot(indirect); abline(h=0, lty=2, col=2)
plot(total); abline(h=0, lty=2, col=2)

# restore user's graphical parameters:
par(layout1x3)