# Plot probability mass functions of a randomised clinical trial design that assumes a Bernoulli distributed primary outcome variable

Source: `R/plot.ph2rand_pmf.R`
`plot.ph2rand_pmf.Rd`

`plot.ph2rand_pmf` plots the terminal points of a design returned by `pmf`.

    # S3 method for ph2rand_pmf
    plot(x, output = FALSE, ...)

## Arguments

x | An object of class `ph2rand_pmf`, as returned by `pmf`.
output | A `logical` variable indicating whether 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 plot in the slot `$plot`, which gives the produced plot of the terminal points.

## See also

`des_one_stage`, `des_two_stage`, `pmf`, `plot.ph2rand_des`.

## Examples

    # The default two-stage design
    des <- des_two_stage()
    # Its probability mass function under the uninteresting and interesting
    # scenarios
    pmf <- pmf(des)
    # The plot of them
    plot(pmf)
    # The same probability mass functions, conditioning on the trial ending in
    # stage 2
    pmf <- pmf(des, k = 2)
    # The plot of them
    plot(pmf)