distributions3 (version 0.2.0)

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

Description

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

Usage

# S3 method for Logistic
pdf(d, x, drop = TRUE, ...)
# S3 method for Logistic
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 Logistic object created by a call to Logistic().

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

See Also

Other Logistic distribution: cdf.Logistic(), quantile.Logistic(), random.Logistic()

Examples

set.seed(27)

X <- Logistic(2, 4)
X

random(X, 10)

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

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