quantile.Exponential: Determine quantiles of an Exponential distribution

In distributions3: Probability Distributions as S3 Objects

Determine quantiles of an Exponential distribution

Description

quantile() is the inverse of cdf().

Usage

## S3 method for class 'Exponential'
quantile(x, probs, drop = TRUE, elementwise = NULL, ...)

Arguments

x	An Exponential object created by a call to Exponential().
probs	A vector of probabilities.
drop	logical. Should the result be simplified to a vector if possible?
elementwise	logical. Should each distribution in x be evaluated at all elements of probs (elementwise = FALSE, yielding a matrix)? Or, if x and probs have the same length, should the evaluation be done element by element (elementwise = TRUE, yielding a vector)? The default of NULL means that elementwise = TRUE is used if the lengths match and otherwise elementwise = FALSE is used.
...	Arguments to be passed to qexp. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

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.

Examples

set.seed(27)

X <- Exponential(5)
X

mean(X)
variance(X)
skewness(X)
kurtosis(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))

distributions3 documentation built on Sept. 30, 2024, 9:37 a.m.