Plot a summary plot corresponding to the sumTable output

This function will return a plot showing a curve of the prob of a meaningful improvement over estimated diff and a curve of the prob of a poor improvement over estimated diff

Usage

plotDecision(data, efficacious_prob, futile_prob)

Arguments

data: (data.frame):
sourced data.frame from [sumTable()]
efficacious_prob: (number):
a cut off for the probability of a meaningful improvement
futile_prob: (number):
a cut off for the probability of a poor improvement

Value

[ggplot()] object

Examples

summaries <- do.call(
  cbind,
  lapply(c(0:8),
    sumTable,
    n = 25,
    parX = c(1, 52),
    go_cut = 0.2,
    stop_cut = 0.05
  )
)

plotDecision(summaries, efficacious_prob = 60, futile_prob = 60)


# plotting different criteria
summaries <- do.call(
  cbind,
  lapply(c(0:8),
    sumTable,
    n = 25,
    parX = c(1, 52),
    # density when P( diff > 20% | B(1, 52) for control and B(0.5, 0.5) for treatment) :
    go_cut = 0.2,
    # density when P( diff < 10% | B(1, 52) for control and B(0.5, 0.5) for treatment) :
    stop_cut = 0.1
  )
)

plotDecision(summaries, efficacious_prob = 60, futile_prob = 80)