qdist: Illustrated quantile calculations from distributions

Description Usage Arguments Details Value Examples

View source: R/dpqrdist.R

Description

Illustrated quantile calculations from distributions

Usage

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qdist(dist = "norm", p, plot = TRUE, verbose = FALSE,
  invisible = FALSE, resolution = 500L, digits = 3L, xlim, ylim,
  return = c("values", "plot"), refinements = list(), ...)

xqgamma(...)

xqt(...)

xqchisq(...)

xqf(...)

xqbinom(...)

xqpois(...)

xqgeom(...)

xqnbinom(...)

xqbeta(...)

Arguments

dist

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

p

a vector of probabilities

plot

a logical indicating whether a plot should be created

verbose

a logical

invisible

a logical

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.

digits

the number of digits desired

xlim

x limits. By default, these are chosen to show the central 99.8% of the distribution.

ylim

y limits

return

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

refinements

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

...

additional arguments, including parameters of the distribution and additional options for the plot. To help with name collisions (eg size for binomial distributions and shape for gamma distributions), argument names beginning plot_ will be renamed to remove plot_ and passed only to the plot. The unprefixed version will used as a paramter for the the distribution.

Details

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

Value

a vector of quantiles; a plot is printed as a side effect

Examples

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qdist("norm", seq(.1, .9, by = 0.10), 
      title = "Deciles of a normal distribution", show.legend = FALSE,
      pattern = "rings")
xqnorm(seq(.2, .8, by = 0.20), mean = 100, sd = 10)
qdist("unif", .5)
xqgamma(.5, shape = 3, scale = 4)
xqgamma(.5, shape = 3, scale = 4, color = "black")
xqbeta(.5, shape1 = .9, shape2 = 1.4, dlwd = 1)
xqchisq(c(.25,.5,.75), df = 3)
xcbinom(c(0.80, 0.90), size = 1000, prob = 0.40)
# displayed as if continuous
xcbinom(c(0.80, 0.90), size = 5000, prob = 0.40)
xpbinom(c(480, 500, 520), size = 1000, prob = 0.48)
xpbinom(c(40, 60), size = 100, prob = 0.5)
xqpois(c(0.25, 0.5, 0.75), lambda = 12)
xcpois(0.50, lambda = 12)
xcpois(0.50, lambda = 12, refinements = list(scale_color_brewer(type = "qual", palette = 5)))

ProjectMOSAIC/mosaic documentation built on Aug. 19, 2018, 9:14 a.m.