genlogFunction: Generalized Logistic Function

In Matherion/userfriendlyscience: Quantitative Analysis Made Accessible

Description

This is the core function of the generalized logistic analysis used in genlog.

Usage

genlogFunction(x, x0, Ab, At, B, v)

Arguments

x	A numeric vector with measurement moments or indices of measurement moments.
x0	A single numeric value specifying at which moment the curve is at its midpoint (when v = 1).
Ab, At	Respectively the lowest and highest possible values of the dependent variable.
B	The growth rate (curve steepness).
v	Um - Peter, wat is 'v' eigenlijk?

Details

For details, see Verboon & Peters (2017).

Author(s)

Peter Verboon (Open University of the Netherlands)

Maintainer: Gjalt-Jorn Peters <[e-mail]>

References

Verboon, P. & Peters, G.-J. Y. (2017) Applying the generalised logistic model in SCD to deal with ceiling effects. PsyArXiv http://INSERTLINK

See Also

genlog

Examples

time <- 1:20;
yVar <- genlogFunction(1:20, 10, 1, 7, 1, 1);
plot(time, yVar, type='l', xlab='time', ylab='y');

Matherion/userfriendlyscience documentation built on May 7, 2019, 3:41 p.m.