distributions3 (version 0.2.0)

quantile.Poisson: Determine quantiles of a Poisson distribution

Description

quantile() is the inverse of cdf().

Usage

# S3 method for Poisson
quantile(x, probs, drop = TRUE, ...)

Value

In case of a single distribution object, either a numeric vector of length probs (if drop = TRUE, default) or a matrix with length(probs) columns (if drop = FALSE). In case of a vectorized distribution object, a matrix with length(probs) columns containing all possible combinations.

Arguments

x

A Poisson object created by a call to Poisson().

probs

A vector of probabilities.

drop

logical. Should the result be simplified to a vector if possible?

...

Arguments to be passed to qpois. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

Examples

set.seed(27)

X <- Poisson(2)
X

random(X, 10)

pdf(X, 2)
log_pdf(X, 2)

cdf(X, 4)
quantile(X, 0.7)

cdf(X, quantile(X, 0.7))
quantile(X, cdf(X, 7))