whitener: The function for perform whitening.
In SparseICA: Sparse Independent Component Analysis
whitener R Documentation
The function for perform whitening.
Description
The function for perform whitening.
Usage
whitener(X, n.comp = ncol(X), center.row = FALSE, use_irlba = TRUE)
Arguments
X
The data matrix with dimension P x T.
n.comp
The number of components.
center.row
Whether to center the row of data. Default is FALSE.
use_irlba
Whether to use the irlba method to perform fast truncated singular value decomposition in whitening step, helpful for memorying intermediate dataset. Default is TRUE.
Value
A list including the whitener matrix, the whitened data matrix, and the mean of the input data.
SparseICA documentation built on April 12, 2025, 1:50 a.m.
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| whitener | R Documentation |
The function for perform whitening.
Description
The function for perform whitening.
Usage
whitener(X, n.comp = ncol(X), center.row = FALSE, use_irlba = TRUE)
Arguments
X |
The data matrix with dimension P x T. |
n.comp |
The number of components. |
center.row |
Whether to center the row of data. Default is FALSE. |
use_irlba |
Whether to use the irlba method to perform fast truncated singular value decomposition in whitening step, helpful for memorying intermediate dataset. Default is TRUE. |
Value
A list including the whitener matrix, the whitened data matrix, and the mean of the input data.
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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