Logit: Generalized Logit and Inverse Logit Function

In AndriSignorell/DescTools: Tools for Descriptive Statistics

Generalized Logit and Inverse Logit Function

Description

Compute generalized logit and generalized inverse logit functions.

Usage

Logit(x, min = 0, max = 1)
LogitInv(x, min = 0, max = 1)

Arguments

x	value(s) to be transformed
min	lower end of logit interval
max	upper end of logit interval

Details

The generalized logit function takes values on [min, max] and transforms them to span [-\infty, \infty ].
It is defined as:

y = log\left (\frac{p}{1-p} \right ) \;\;\; \; \textup{where} \; \;\; p=\frac{x-min}{max-min}

The generalized inverse logit function provides the inverse transformation:

x = p' \cdot (max-min) + min \;\;\; \; \textup{where} \; \;\; p'=\frac{exp(y)}{1+exp(y)}

Value

Transformed value(s).

Author(s)

Gregory R. Warnes [e-mail]

See Also

logit

Examples

x <- seq(0,10, by=0.25)
xt <- Logit(x, min=0, max=10)
cbind(x,xt)

y <- LogitInv(xt, min=0, max=10)
cbind(x, xt, y)

AndriSignorell/DescTools documentation built on Dec. 1, 2024, 5:13 a.m.