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 June 22, 2024, 9:17 a.m.
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.
| 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.