Plot Method for bbssr_tie Objects

Draws the type I error rate of a design with blinded sample size re-estimation and of the corresponding fixed-sample design against the common response probability, with a reference line at the nominal level. For a test of equivalence the two boundaries of the null hypothesis are drawn in separate panels.

Usage

# S3 method for class 'bbssr_tie'
plot(
  x,
  main = NULL,
  sub = NULL,
  xlab = NULL,
  ylab = NULL,
  ylim = NULL,
  ref.line = NULL,
  legend.title = NULL,
  legend.labels = NULL,
  colours = NULL,
  base_size = 11,
  ...
)

Arguments

x

An object of class bbssr_tie

main

Title. NULL keeps the default and NA removes it

sub

Subtitle. NULL keeps the default and NA removes it

xlab

Label of the horizontal axis. NULL keeps the default

ylab

Label of the vertical axis. NULL keeps the default

ylim

Range of the vertical axis, applied through coord_cartesian()

ref.line

Height of the dashed reference line. NULL draws it at the nominal level and NA removes it

legend.title

Title of the legend. NULL keeps the default

legend.labels

Labels of the two designs. NULL keeps the defaults

colours

Two colours for the BSSR and the fixed-sample design

base_size

Base font size passed to theme_bw()

...

Further arguments, ignored

Value

A ggplot object

Examples

tie <- BinaryTypeIErrorBSSR(
  Delta.A = 0.3, N1 = 20, N2 = 20, omega = 0.5, r = 1,
  alpha = 0.025, tar.power = 0.8, Test = 'Chisq', ss.method = 'standard',
  theta = seq(0.05, 0.95, by = 0.05)
)
plot(tie)