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rcicr (version 0.3.4.1)

Reverse-Correlation Image-Classification Toolbox

Description

Functions to generate stimuli and analyze data of reverse correlation image classification experiments (psychophysical tasks aimed at visualizing cognitive mental representations of faces).

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Version

Install

install.packages('rcicr')

Monthly Downloads

14

Version

0.3.4.1

License

GPL-2

Maintainer

Ron Dotsch

Last Published

July 13th, 2016

Functions in rcicr (0.3.4.1)

generateCI

Generates classification image
generateCINoise

Generate classification image noise pattern based on set of stimuli (matrix: trials, parameters), responses (vector), and sinusoid
computeCumulativeCICorrelation

Computes cumulative trial CIs correlations with final/target CI
generateGabor

Generate single gabor patch
autoscale

Determines optimal scaling constant for a list of ci's
generateCI2IFC

Generates 2IFC classification image
batchGenerateCI2IFC

Generates multiple 2IFC classification images by participant or condition
generateNoiseImage

Generate single noise image based on parameter vector
batchGenerateCI

Generates multiple classification images by participant or condition
generateNoisePattern

Generate sinusoid noise pattern
rcicr-package

Reverse-Correlation Image-Classification Toolbox
simulateNoiseIntensities

Simulate pixel intensity range for noise
generateSinusoid

Generate single sinusoid patch
generateStimuli2IFC

Generates 2IFC stimuli