MVSampEn: Multivariate sample entropy
In areshenk/MSMVSampEn: Computes Multiscale Multivariate Sample Entropy
MVSampEn R Documentation
Multivariate sample entropy
Description
Function computes the multivariate sample entropy of a signal
Usage
MVSampEn(mat, M, tau, r, scale = TRUE)
Arguments
mat
A pxn numeric matrix containing a p-variate time series.
M
A vector of length p specifying the embedding dimension.
tau
A vector of length p specifying the time lag parameter.
r
The similarity threshold.
scale
If TRUE (default), standardizes the rows of mat.
areshenk/MSMVSampEn documentation built on July 22, 2022, 2:09 a.m.
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| MVSampEn | R Documentation |
Multivariate sample entropy
Description
Function computes the multivariate sample entropy of a signal
Usage
MVSampEn(mat, M, tau, r, scale = TRUE)
Arguments
mat |
A pxn numeric matrix containing a p-variate time series. |
M |
A vector of length p specifying the embedding dimension. |
tau |
A vector of length p specifying the time lag parameter. |
r |
The similarity threshold. |
scale |
If TRUE (default), standardizes the rows of mat. |
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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