distributions3 (version 0.2.0)

pdf.Weibull: Evaluate the probability mass function of a Weibull distribution

Description

Please see the documentation of Weibull() for some properties of the Weibull distribution, as well as extensive examples showing to how calculate p-values and confidence intervals.

Usage

# S3 method for Weibull
pdf(d, x, drop = TRUE, ...)
# S3 method for Weibull
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

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

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 dweibull. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

See Also

Other Weibull distribution: cdf.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)