mosaic (version 1.1.1)

pdist: Illustrated probability calculations from distributions

Description

Illustrated probability calculations from distributions

Usage

pdist(dist = "norm", q, plot = TRUE, verbose = FALSE, invisible = FALSE,
  digits = 3L, xlim, ylim, resolution = 500L, return = c("values",
  "plot"), ..., refinements = list())
xpgamma(...)
xpt(...)
xpchisq(...)
xpf(...)
xpbinom(...)
xppois(...)
xpgeom(...)
xpnbinom(...)
xpbeta(...)

Arguments

dist

a character description of a distribution, for example "norm", "t", or "chisq"

q

a vector of quantiles

plot

a logical indicating whether a plot should be created

verbose

a logical

invisible

a logical

digits

the number of digits desired

xlim

x limits

ylim

y limits

resolution

Number of points used for detecting discreteness and generating plots. The default value of 5000 should work well except for discrete distributions that have many distinct values, especially if these values are not evenly spaced.

return

If "plot", return a plot. If "values", return a vector of numerical values.

...

Additional arguments, including parameters of the distribution and additional options for the plot

refinements

A list of refinements to the plot. See ggformula::gf_refine().

Value

A vector of probabilities; a plot is printed as a side effect.

Details

The most general function is pdist which can work with any distribution for which a p-function exists. As a convenience, wrappers are provided for several common distributions.

See Also

qdist(), xpnorm(), xqnorm().

Examples

# NOT RUN {
pdist("norm", -2:2)
pdist("norm", seq(80,120, by = 10), mean = 100, sd = 10)
pdist("chisq", 2:4, df = 3)
pdist("f", 1, df1 = 2, df2 = 10)
pdist("gamma", 2, shape = 3, rate = 4)
# }