plot.curve_test: Plot Method for 'curve_test' Objects

In RobinDenz1/adjustedCurves: Confounder-Adjusted Survival Curves and Cumulative Incidence Functions

Plot Method for curve_test Objects

Description

Produces either a spaghetti-plot of the bootstrapped difference curves (type="curves") or a kernel-density plot of the shifted bootstrap distribution of the difference curve integrals (type="integral").

Usage

## S3 method for class 'curve_test'
plot(x, type="curves", xlab=NULL,
     ylab=NULL, title=NULL, ...)

Arguments

x	An object of class curve_test created by the adjusted_curve_test function.
type	Either "curves" or "integral", specifying what should be plotted.
xlab	The label of the X-Axis. Set to NULL to use default label.
ylab	The label of the Y-Axis. Set to NULL to use default label.
title	The title of the plot. Set to NULL to use no title.
...	Currently not used.

Details

When using type="curves" the black curve shows the observed curve of the difference. When using type="integral" the red line shows the observed integral of the curve of the difference.

Both graphics can be used to check if the assumptions of the test hold. The bootstrap-shifted distribution of the integral of the difference should approximately be normally distributed. If the kernel-density estimate shown with type="integral" is clearly not normally distributed, the estimated p-value might be wrong. Similarly, if the curves of the differences do not vary randomly around the black line when using type="curves", the estimated p-value might be wrong. You could also try to rerun the adjustedsurv or adjustedcif function with a bigger number in n_boot.

Value

Returns a ggplot2 object.

Author(s)

Robin Denz

See Also

adjusted_curve_test, adjustedsurv, adjusted_rmst

Examples

# See ?adjusted_curve_test

RobinDenz1/adjustedCurves documentation built on Sept. 27, 2024, 7:04 p.m.