distributions3 (version 0.2.0)

pdf.Exponential: Evaluate the probability density function of an Exponential distribution

Description

Evaluate the probability density function of an Exponential distribution

Usage

# S3 method for Exponential
pdf(d, x, drop = TRUE, ...)
# S3 method for Exponential
log_pdf(d, x, 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(x) columns (if drop = FALSE). In case of a vectorized distribution object, a matrix with length(x) columns containing all possible combinations.

Arguments

d

An Exponential object created by a call to Exponential().

x

A vector of elements whose probabilities you would like to determine given the distribution d.

drop

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

...

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

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))