get_joint_decomposition_robustH: Computes the individual matrix for a data block
In RaJIVE: Robust Angle Based Joint and Individual Variation Explained
Description
Computes the individual matrix for a data block
Usage
1
get_joint_decomposition_robustH(X, joint_scores, full = TRUE)
Arguments
X
Matrix. The original data matrix.
joint_scores
Matrix. The basis of the joint space (dimension n x joint_rank).
full
Boolean. Do we compute the full J, I matrices or just the SVD (set to FALSE to save memory).
RaJIVE documentation built on Feb. 4, 2021, 5:05 p.m.
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Description
Computes the individual matrix for a data block
Usage
1 | get_joint_decomposition_robustH(X, joint_scores, full = TRUE)
|
Arguments
X |
Matrix. The original data matrix. |
joint_scores |
Matrix. The basis of the joint space (dimension n x joint_rank). |
full |
Boolean. Do we compute the full J, I matrices or just the SVD (set to FALSE to save memory). |
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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