mean.dmcfit: mean.dmcfit

In DMCfun: Diffusion Model of Conflict (DMC) in Reaction Time Tasks

Description

Aggregate simulation results from dmcFitSubject/dmcFitSubjectDE.

Usage

## S3 method for class 'dmcfit'
mean(x, ...)

Arguments

x	Output from dmcFitSubject/dmcFitSubjectDE
...	pars

Value

mean.dmcfit return an object of class "dmcfit" with the following components:

summary	DataFrame within aggregated subject data (rtCor, sdRtCor, seRtCor, perErr, sdPerErr, sePerErr, rtErr, sdRtErr, seRtErr) for compatibility condition
delta	DataFrame within aggregated subject distributional delta analysis data correct trials (Bin, meanComp, meanIncomp, meanBin, meanEffect, sdEffect, seEffect)
caf	DataFrame within aggregated subject conditional accuracy function (CAF) data (Bin, accPerComp, accPerIncomp, meanEffect, sdEffect, seEffect)
par	The fitted model parameters + final cost value of the fit

Examples

# Code below can exceed CRAN check time limit, hence donttest
# Example 1: Fit individual data then aggregate
fitSubjects <- dmcFitSubject(flankerData, nTrl = 1000, subjects = c(1, 2))
fitAgg <- mean(fitSubjects)
plot(fitAgg, flankerData)

DMCfun documentation built on Oct. 25, 2021, 9:09 a.m.