Plot the optimal conditional error function

The returned plot is a ggplot2 object and can be supplemented with additional layers using ggplot2 commands.

Usage

# S3 method for class 'TrialDesignOptimalConditionalError'
plot(
  x,
  y,
  ...,
  range = c(0, 1),
  type = "conditionalError",
  plotNonMonotoneFunction = FALSE
)

Arguments

x

Design object of class TrialDesignOptimalConditionalError.

y

Not used; included for compatibility with plot().

...

Additional arguments for the generic method.

range

Numeric vector with two entries specifying the range of the x-axis of the plot.

type

Type of plot to be created. Options are:

• type = "conditionalError" (or 1): Plot the values of the optimal conditional error function against the first-stage p-value.

• type = "stageInformation" (or 2): Plot the second-stage information resulting from the optimal conditional error function against the first-stage p-value.

• type = "likelihoodRatio" (or 3): Plot the likelihood ratio of the given specification of the optimal conditional error function against the first-stage p-value.

• type = "qFunction" (or 4): Plot the function Q of the given specification of the optimal conditional error function against the first-stage p-value.

plotNonMonotoneFunction

Logical. Should the non-monotone version of the plot be drawn? Not applicable for type = "likelihoodRatio". Default: FALSE.

Value

A ggplot object.