eigenvalue: Scaled Firts Singular Value of the SVD of a Matrix
In missRows: Handling Missing Individuals in Multi-Omics Data Integration
Description
Usage
Arguments
Value
Description
Obtain the scaled first singular value of the singular-value decomposition
of a rectangular matrix X as computed by svd. Scaling
is done by dividing the firts singular value by the root square of the number
of rows in X. This function is internally called by MFA
and is not usually called directly by a user.
Usage
1
eigenvalue(X)
Arguments
X
a numeric matrix whose SVD decomposition
can be computed.
Value
The scaled first singular value of svd(X).
missRows documentation built on Nov. 8, 2020, 5:27 p.m.
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Description Usage Arguments Value
Description
Obtain the scaled first singular value of the singular-value decomposition
of a rectangular matrix X as computed by svd. Scaling
is done by dividing the firts singular value by the root square of the number
of rows in X. This function is internally called by MFA
and is not usually called directly by a user.
Usage
1 | eigenvalue(X)
|
Arguments
X |
a numeric matrix whose SVD decomposition can be computed. |
Value
The scaled first singular value of svd(X).
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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