plot_subgroups: Draw a population composition plot

In nph: Planning and Analysing Survival Studies under Non-Proportional Hazards

Draw a population composition plot

Description

A figure that shows the composition of the population under study though time

Usage

plot_subgroups(
  A,
  B,
  colors = "default",
  max_time = max(A$Tint),
  position = c("stack", "fill"),
  title = ""
)

Arguments

A	An object of class mixpch, resembling the survival function in treatment group 0
B	An object of class mixpch, resembling the survival function in treatment group 1
colors	Either a vector of length four with colors for A and B and subgroup 1 and 2, or "default".
max_time	the maximum value for the x-axis.
position	Either "stack" or "fill". By default (stack), the total population decreases through time. If position="fill", the size of the population is rescaled to show conditional percentages.
title	The text for the title.

Author(s)

Robin Ristl, [e-mail], Nicolas Ballarini

References

Robin Ristl, Nicolas Ballarini, Heiko Götte, Armin Schüler, Martin Posch, Franz König. Delayed treatment effects, treatment switching and heterogeneous patient populations: How to design and analyze RCTs in oncology. Pharmaceutical statistics. 2021; 20(1):129-145.

See Also

pop_pchaz

Examples

A <- pop_pchaz(Tint = c(0, 90, 365),
  lambdaMat1 = matrix(c(0.2, 0.1, 0.4, 0.1), 2, 2) / 365,
 lambdaMat2 = matrix(c(0.5, 0.2, 0.6, 0.2), 2, 2) / 365,
 lambdaProg = matrix(c(0.5, 0.5, 0.4, 0.4), 2, 2) / 365,
 p = c(0.8, 0.2), 
 timezero = FALSE, discrete_approximation = TRUE)
B <- pop_pchaz(Tint = c(0, 90, 365),
  lambdaMat1 = matrix(c(0.2, 0.1, 0.4, 0.1), 2, 2) / 365,
 lambdaMat2 = matrix(c(0.5, 0.1, 0.6, 0.1), 2, 2) / 365,
 lambdaProg = matrix(c(0.5, 0.5, 0.04, 0.04), 2, 2) / 365,
 p = c(0.8, 0.2), 
 timezero = FALSE, discrete_approximation = TRUE)
plot_subgroups(A, B, title = "position='stack'")
plot_subgroups(A, B, position='fill', title = "position='fill'")

nph documentation built on May 17, 2022, 1:06 a.m.