Figure_6: Figure_6
In crqa: Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis
Figure_6 R Documentation
Figure_6
Description
Speed (time in seconds) and memory (peak RAM in MB) performance of crqa()
and piecewiseRQA() for simulated data of increasing size
(from 3000 to 7000 data points), compared in blocks of different
sizes (from 1000 to 6500 in increments of 500)
Usage
Figure_6
Format
A data frame with 28 rows and 2 variables:
- speed
The time in seconds to perform a crqa() analysis
- memory
The peak MB occupied in the RAM to perform a crqa() analysis
- typeRQA
Whether the analysis contained all data points (full) or was
computed piecewise (piece)
- datapoint
The number of datapoints
- blocksize
The dimension of the block
crqa documentation built on June 22, 2024, 9:17 a.m.
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| Figure_6 | R Documentation |
Figure_6
Description
Speed (time in seconds) and memory (peak RAM in MB) performance of crqa() and piecewiseRQA() for simulated data of increasing size (from 3000 to 7000 data points), compared in blocks of different sizes (from 1000 to 6500 in increments of 500)
Usage
Figure_6Format
A data frame with 28 rows and 2 variables:
- speed
The time in seconds to perform a crqa() analysis
- memory
The peak MB occupied in the RAM to perform a crqa() analysis
- typeRQA
Whether the analysis contained all data points (full) or was computed piecewise (piece)
- datapoint
The number of datapoints
- blocksize
The dimension of the block
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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