aat_stimulusscores {AATtools} | R Documentation |
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 |
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")