Figure_1: Eye-movement categorical time-series
In crqa: Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis
Figure_1 R Documentation
Eye-movement categorical time-series
Description
Three time series (1250 observations) organised as columns and simulating data from: a periodical sine wave, one of the dimensions of the Lorenz attractor and a white noise signal.
Usage
Figure_1
Format
A data frame with 1250 rows and 3 columns:
- sinus
A periodical sine wave
- lorenz
One dimension of a Lorenz attractor
- wnoise
White noise
crqa documentation built on Nov. 27, 2023, 5:10 p.m.
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| Figure_1 | R Documentation |
Eye-movement categorical time-series
Description
Three time series (1250 observations) organised as columns and simulating data from: a periodical sine wave, one of the dimensions of the Lorenz attractor and a white noise signal.
Usage
Figure_1Format
A data frame with 1250 rows and 3 columns:
- sinus
A periodical sine wave
- lorenz
One dimension of a Lorenz attractor
- wnoise
White noise
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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