Package index • preproc.iquizoo

High-level API for data pre-processing

Typically you would like to call these two functions to invoke processing.

preproc_data(): Calculate Performance Indices

Low-level data pre-processing functions

These functions are typically used in the preproc_data function, separately for each task paradigm.

ant_orient() ant_alert(): Attention Network Test

bart(): Balloon Analogue Risk Task

bps(): Behavioral Pattern Separation (BPS) task

capacity(): Visual Arrays

condstairs(): Adaptive Filtering

countcorrect() countcorrect2() sumweighted() sumscore(): Count Correct Responses

cpt(): Continuous Performance Test

driving(): Driving Test

drm(): Deese-Roediger-McDermott (DRM) paradigm

fit_numerosity(): Fit a Simple Numerosity Model

fname(): Face Name Task

igt(): Iowa Gambling Task (modified)

jlo(): Judgment of Line Orientation

locmem() locmem2(): Location Memory

london(): London Tower

multisense(): Multiple Sensory Integration

nback() dualnback(): N Back Paradigm

nle(): Number Line Estimation

nsymncmp(): Non-symbolic Number Comparison

racer(): NeuroRacer Modified

rapm(): Raven's Advanced Progressive Matrices

refframe(): Spatial Reference Frame

reinf(): Probability Reinforcement Learning

crt() srt(): Reaction Times

span(): Span (spatial or verbal)

staircase(): Threshold estimation from staircase method

stopsignal(): Stop Signal Paradigm

complexswitch() congeff() switchcost(): Task Switching and Stroop-like paradigm

symncmp(): Symbolic Number Comparison

synwin(): SynWin Test