Package: AATtools 0.0.3

Sercan Kahveci

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

Compute approach bias scores using different scoring algorithms, compute bootstrapped and exact split-half reliability estimates, and compute confidence intervals for individual participant scores.

Authors:Sercan Kahveci [aut, cre]

AATtools_0.0.3.tar.gz
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AATtools.pdf |AATtools.html✨
AATtools/json (API)

# Install 'AATtools' in R:
install.packages('AATtools', repos = c('https://spiritspeak.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/spiritspeak/aattools/issues

Datasets:
  • erotica - AAT examining approach bias for erotic stimuli

On CRAN:

Conda:

3.30 score 2 stars 2 scripts 429 downloads 47 exports 19 dependencies

Last updated from:136ad47426. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK112
source / vignettesOK154
linux-release-x86_64OK114
macos-release-arm64OK147
macos-oldrel-arm64OK154
windows-develOK105
windows-releaseOK98
windows-oldrelOK98
wasm-releaseOK97

Exports:aat_bootstrapaat_computeaat_covreliabilityaat_covreliability_jackknifeaat_doublemeandiffaat_doublemediandiffaat_dscoreaat_dscore_multiblockaat_getstudydataaat_mediandscoreaat_regressionaat_simulateaat_simulate2aat_singlemeandiffaat_singlemediandiffaat_splithalfaat_standardregressionaat_stimulus_restaat_stimulusscorescalphacase_prune_3SDcompcorrcormeancovEMerror_prune_dropcaseserror_replace_blockmeanplusFlanaganRulonlambda2lambda4prune_nothingq_reliabilityq_reliability2r2pr2tr2zRajuCoefficientrconfintSpearmanBrownt2rtrial_prune_3MADtrial_prune_3SDtrial_prune_grubbstrial_prune_percent_sampletrial_prune_percent_subjecttrial_prune_SD_dropcasestrial_recode_SDz2r

Dependencies:clicodetoolsdoParalleldplyrforeachgenericsglueiteratorslifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

Readme and manuals

Help Manual

Help pageTopics
Compute bootstrapped approach-bias scoresaat_bootstrap plot.aat_bootstrap print.aat_bootstrap
Compute simple AAT scoresaat_compute
Compute a dataset's reliability from its covariance matrixaat_covreliability aat_covreliability_jackknife plot.aat_covreliability_jackknife print.aat_covreliability print.aat_covreliability_jackknife
Simulate AAT datasets and predict parametersaat_getstudydata aat_simulate aat_simulate2
Compute the bootstrapped split-half reliability for approach-avoidance task dataaat_splithalf plot.aat_splithalf print.aat_splithalf
Compute stimulus-rest correlations of double-difference scores This function provides a statistic that can give an indication of how deviant the responses to specific stimuli are, in comparison to the rest of the stimulus set. The algorithm computes stimulus-rest correlations of stimulus-specific double-difference scores. It takes single-difference approach-avoidance scores for each stimulus, and computes every possible subtraction between individual stimuli from both stimulus categories. It then computes correlations between every such subtraction of stimuli on one hand, and the mean double difference score of all other stimuli. Stimulus-rest correlations are then computed by averaging every such subtraction-rest correlation involving a specific stimulus.aat_stimulus_rest plot.aat_stimulus_rest
Compute stimulus-specific bias scores Computes mean single-difference scores (push - pull) for each stimulus.aat_stimulusscores
AAT score computation algorithmsaat_doublemeandiff aat_doublemediandiff aat_dscore aat_dscore_multiblock aat_mediandscore aat_regression aat_singlemeandiff aat_singlemediandiff aat_standardregression Algorithms
Compute a minimally biased average of correlation valuescormean
Correlation toolscompcorr correlation-tools print.compcorr r2p r2t r2z rconfint t2r z2r
Covariance matrix computation with multiple imputationcovEM
Covariance Matrix-Based Reliability Coefficientscalpha covrel lambda2 lambda4
AAT examining approach bias for erotic stimulierotica
Pre-processing rulescase_prune_3SD error_prune_dropcases error_replace_blockmeanplus Preprocessing prune_nothing trial_prune_3MAD trial_prune_3SD trial_prune_grubbs trial_prune_percent_sample trial_prune_percent_subject trial_prune_SD_dropcases trial_recode_SD
Compute psychological experiment reliabilityplot.qreliability print.qreliability q_reliability q_reliability2
Split Half-Based Reliability CoefficientsFlanaganRulon RajuCoefficient SpearmanBrown splitrel