aat_stimulusscores: Compute stimulus-specific bias scores Computes mean...

In AATtools: Reliability and Scoring Routines for the Approach-Avoidance Task

Compute stimulus-specific bias scores Computes mean single-difference scores (push - pull) for each stimulus.

Description

Compute stimulus-specific bias scores Computes mean single-difference scores (push - pull) for each stimulus.

Usage

aat_stimulusscores(
  ds,
  subjvar,
  stimvar,
  pullvar,
  targetvar = NULL,
  rtvar,
  aggfunc = c("mean", "median"),
  iters = 5
)

Arguments

ds	the data.frame to use
subjvar	Name of the subject-identifying variable
stimvar	Name of the stimulus-identifying variable
pullvar	Name of the movement-direction identifying variable
targetvar	Optional. Name of the stimulus-category identifying variable
rtvar	Name of the reaction-time identifying variable
aggfunc	The function with which to aggregate the RTs before computing difference scores. Defaults to mean but can be changed to median.
iters	If there are missing values (which is almost inevitable) then multiple imputation will be used to complete the covariance matrix - this argument sets the number of multiple imputations to be used.

Value

Exports a list containing a data.frame with stimulus-specific bias scores, indicated in the column names, a covariance matrix of that same data, and a data.frame indicating to which stimulus category each stimulus belongs.

Examples

ds<-aat_simulate(biasfx_jitter=40,nstims=16)
ds$stim<-paste0(ds$stim,"-",ds$is_target)
aat_stimulusscores(ds,"subj","stim","is_pull","is_target","rt")

AATtools documentation built on Sept. 11, 2024, 8:40 p.m.