distributions3 (version 0.2.0)

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

Description

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

Usage

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

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

See Also

Other LogNormal distribution: cdf.LogNormal(), fit_mle.LogNormal(), quantile.LogNormal(), random.LogNormal()

Examples

set.seed(27)

X <- LogNormal(0.3, 2)
X

random(X, 10)

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

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