Exp: Functional mapping a function to its exp version

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Functional mapping a function to its exp version

Description

Exp maps f(x) to Exp(f(x)). Ln is its inverse operation.

Usage

Ln(f)

## S3 method for class 'numeric'
Ln(f)

## S3 method for class ''function''
Ln(f)

## S3 method for class 'list'
Ln(f)

Exp(f)

## S3 method for class 'numeric'
Exp(f)

## S3 method for class ''function''
Exp(f)

## S3 method for class 'list'
Exp(f)

Arguments

f	the function (or a constant)

Value

same type as f but exponentiated

Methods (by class)

• Exp(numeric): numeric method just evaluates exp

• Exp(`function`): Function method maps the function

• Exp(list): list method iterates in a vectorized manner over the list

Functions

• Ln(): Inverse of Exp

• Ln(numeric): method for numerics just applies the natural logarithm

• Ln(`function`): Inverse functional mapping

• Ln(list): list method operates in a vectorized way over the list

Examples

Exp(1)
f = function(x) x^2
expf = Exp(f)
expf
lnf = Ln(f)
Exp(lnf)
Ln(expf)

DistributionalDDA documentation built on Oct. 20, 2026, 5:06 p.m.