cdf.Weibull: Evaluate the cumulative distribution function of a Weibull...

View source: R/Weibull.R

cdf.WeibullR Documentation

Evaluate the cumulative distribution function of a Weibull distribution

Description

Evaluate the cumulative distribution function of a Weibull distribution

Usage

## S3 method for class 'Weibull'
cdf(d, x, drop = TRUE, elementwise = NULL, ...)

Arguments

d

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

x

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

drop

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

elementwise

logical. Should each distribution in d be evaluated at all elements of x (elementwise = FALSE, yielding a matrix)? Or, if d and x 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 pweibull. 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(x) columns (if drop = FALSE). In case of a vectorized distribution object, a matrix with length(x) columns containing all possible combinations.

See Also

Other Weibull distribution: pdf.Weibull(), quantile.Weibull(), random.Weibull()

Examples


set.seed(27)

X <- Weibull(0.3, 2)
X

random(X, 10)

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

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

alexpghayes/distributions documentation built on Feb. 10, 2024, 9:50 a.m.