# Plot the operating characteristics of a randomised clinical trial design that assumes a Bernoulli distributed primary outcome variable

Source: `R/plot.ph2rand_des.R`
`plot.ph2rand_des.Rd`

`plot.ph2rand_des` plots the operating characteristics of a design returned by `des_one_stage` or `des_two_stage`, under a range of key response rate scenarios. For convenience, it also calls `plot.ph2rand_terminal` to plot the terminal points of the design.

    # S3 method for ph2rand_des
    plot(x, k = 1:x$J, output = FALSE, ...)

## Arguments

x | An object of class `ph2rand_des`, as returned by `des_one_stage` or `des_two_stage`.
k | A `numeric` `vector` indicating which stages to consider in determining the probability mass function. That is, it will condition the calculations on the trial ending in the stages given in `k`. Defaults to `1:des$J` (i.e., to all stages of the given design).
output | A `logical` variable indicating whether available outputs should be returned by the function.
... | Not currently used.

## Value

If `output = TRUE`, a `list` containing each of the input parameters along with a `list` in the slot `$plots`, which gives all of the available produced plots.

## See also

`des_one_stage`, `des_two_stage`, `plot.ph2rand_terminal`.

## Examples

    # The default two-stage design
    des   <- des_two_stage()
    # Print several key plots
    plot(des)
    # Determine and store all available plots
    plots <- plot(des, output = TRUE)