msvd: SVD based algorithm to calculate block Score and global...
In mogsa: Multiple omics data integrative clustering and gene set analysis
Description
Usage
Arguments
Value
Author(s)
See Also
Description
An internal function called by mbpca. It returns the result comparable
with nipalsSoftK, but way faster since it uses the SVD algorithm. No sparse opertors
in this function.
Usage
1
Arguments
x
The input matrix, rows are observations, columns are variables
svd.sol
A function object to specify the preferred SVD solver, default is svd.
Value
an list object contains the following elements:
tb - the block scores
pb - the block loadings
t - the global scores
w - the wegihts of block scores to construct the global scor
Author(s)
Chen Meng
See Also
mogsa documentation built on Nov. 8, 2020, 5:41 p.m.
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Description Usage Arguments Value Author(s) See Also
Description
An internal function called by mbpca. It returns the result comparable
with nipalsSoftK, but way faster since it uses the SVD algorithm. No sparse opertors
in this function.
Usage
1 |
Arguments
x |
The input matrix, rows are observations, columns are variables |
svd.sol |
A function object to specify the preferred SVD solver, default is |
Value
an list object contains the following elements:
tb - the block scores
pb - the block loadings
t - the global scores
w - the wegihts of block scores to construct the global scor
Author(s)
Chen Meng
See Also
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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