ex-gaussian: Ex-Gaussian Distribution

In retimes: Reaction Time Analysis

Description

Density function, parameter estimation by moments and random variable generation for the ex-Gaussian distribution.

Usage

dexgauss(q, mu = 0, sigma = 1, tau = 1)
mexgauss(x, n = length(x))
rexgauss(n, mu = 0, sigma = 1, tau = 1, positive = TRUE)

Arguments

x,q	Vector of reaction times.
n	Number of observations.
mu,sigma,tau	Parameters of the ex-Gaussian distribution.
positive	Logical: imposes the generation of a vector containing only positive values.

Details

The function mexgauss implements the method of moments to estimate the parameters of an ex-Gaussian distribution as described by Heathcote (1996).

Author(s)

Davide Massidda [e-mail]

References

Heathcote, A. (1996). RTSYS: A DOS application for the analysis of reaction time data. Behavior Research Methods, Instruments, & Computers, 28(3), 427-445.

Luce, R. D. (1986). Response times: their role in inferring elementary mental organization. New York: Oxford University Press.

See Also

timefit

Examples

# Vector of reaction times from Heathcote (1996):
RT <- c(474.688, 506.445, 524.081, 530.672, 530.869,
        566.984, 582.311, 582.940, 603.574, 792.358)
mexgauss(RT)

Example output

Reaction Time Analysis (version 0.1-2)
       mu     sigma       tau 
487.83351  31.95942  81.65869 

retimes documentation built on May 2, 2019, 12:34 p.m.