coarsegrainUnivariate: Coarsegrain a univariate signal
In areshenk/MSMVSampEn: Computes Multiscale Multivariate Sample Entropy
View source: R/coarsegrainUnivariate.R
coarsegrainUnivariate R Documentation
Coarsegrain a univariate signal
Description
Function coarsegrains a univariate signal by partitioning the signal into bins
of length eps, and then applying a function (by default, the mean) to each bin.
Usage
coarsegrainUnivariate(x, eps, fun = mean, ...)
Arguments
x
A numeric vector.
eps
The bin size.
fun
The function to apply to each bun (default = mean).
...
Other arguments passed to fun.
areshenk/MSMVSampEn documentation built on July 22, 2022, 2:09 a.m.
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View source: R/coarsegrainUnivariate.R
| coarsegrainUnivariate | R Documentation |
Coarsegrain a univariate signal
Description
Function coarsegrains a univariate signal by partitioning the signal into bins of length eps, and then applying a function (by default, the mean) to each bin.
Usage
coarsegrainUnivariate(x, eps, fun = mean, ...)
Arguments
x |
A numeric vector. |
eps |
The bin size. |
fun |
The function to apply to each bun (default = mean). |
... |
Other arguments passed to fun. |
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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