Version 1.2.1 (20.7 KB) by Konrad
Implementation of various indices of randomness as measures of RandomNumberGeneration performance; a task assessing executive functioning.


Updated 23 Jul 2018

From GitHub

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calcRNGmeasures calculates various indices of randomness. See function help section for details.

Code not externally reviewed, no warranty!

RNG indices were adapted from:

Towse, J. N., & Neil, D. (1998). Analyzing human random generation
behavior: A review of methods used and a computer program for
describing performance.
Behavior Research Methods, Instruments, & Computers, 30(4),
583-591. doi:10.3758/BF03209475
Abbreviated as T&N.98

Jahanshahi, M., Saleem, T., Ho, A. K., Dirnberger, G., & Fuller, R.
(2006). Random number generation as an index of controlled
processing. Neuropsychology, 20(4), 391-9.
Abbreviated as J&al.06

Sheskin, David J. Handbook of Parametric and Nonparametric Statistical
Procedures. 3rd ed. CRC press 2003.
Abbreviated as DJS.03

Cite As

Konrad (2023). RNG-Indices-of-Randomness (https://github.com/f-k-s/RNG-Indices-of-Randomness), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2012a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes

Decription updated.


To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.