arpv.plot: Plot Abstract Randomized P-value
In ump: Uniformly Most Powerful Tests

Plot ether the distribution function or the probability density function of an abstract randomized P-value

1	arpv.plot(alpha, phi, df = TRUE, verticals = TRUE)

`alpha`	significance levels at which the density is discontinuous ("knots").
`phi`	values of the distribution function at these knots.
`df`	if `TRUE` plot the distribution function, otherwise the density.
`verticals`	if `TRUE` plot vertical lines at the jumps of the density. Ignored if `df == TRUE`.

none.

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out <- arpv.binom(10, 10, 0.7)
arpv.plot(out$alpha, out$phi)
arpv.plot(out$alpha, out$phi, df = FALSE)

ump documentation built on May 1, 2019, 11:10 p.m.

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