Description Usage Arguments Details Value Examples
Illustrated quantile calculations from distributions
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dist 
a character description of a distribution, for example

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 
refinements 
A list of refinements to the plot. See 
... 
additional arguments, including parameters of the distribution
and additional options for the plot. To help with name collisions (eg 
The most general function is qdist
which can work with
any distribution for which a qfunction exists. As a convenience, wrappers are
provided for several common distributions.
a vector of quantiles; a plot is printed as a side effect
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17  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)))

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