RNG: Random Number Sequences
In FredHasselman/casnet: A Toolbox for Studying Complex Adaptive Systems and Networks
RNG R Documentation
Random Number Sequences
Description
A dataset containing sequences of 100 numbers generated bij 242 participants who were instruted to generate random sequences.
Usage
RNG
Format
A data frame with 24200 rows and 3 variables:
- ID
Participant ID
- time
Temporal order
- number
A number between 1 and 9
Source
https://www.frontiersin.org/articles/10.3389/fnhum.2015.00319/full
References
Oomens, W., Maes, J. H., Hasselman, F., & Egger, J. I. (2015). A time series approach to random number generation: using recurrence quantification analysis to capture executive behavior. Frontiers in human neuroscience, 9
FredHasselman/casnet documentation built on March 10, 2024, 8:23 a.m.
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| RNG | R Documentation |
Random Number Sequences
Description
A dataset containing sequences of 100 numbers generated bij 242 participants who were instruted to generate random sequences.
Usage
RNG
Format
A data frame with 24200 rows and 3 variables:
- ID
Participant ID
- time
Temporal order
- number
A number between 1 and 9
Source
https://www.frontiersin.org/articles/10.3389/fnhum.2015.00319/full
References
Oomens, W., Maes, J. H., Hasselman, F., & Egger, J. I. (2015). A time series approach to random number generation: using recurrence quantification analysis to capture executive behavior. Frontiers in human neuroscience, 9
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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