pickSVD {ExPosition} | R Documentation |
This function is an interface for the user to a general SVD or related decomposition. It provides direct access to svd
and eigen
. Future decompositions will be available.
pickSVD(datain, is.mds = FALSE, decomp.approach = "svd", k = 0)
datain |
a data matrix to decompose. |
is.mds |
a boolean. TRUE for a MDS decomposition. |
decomp.approach |
a string. 'svd' for singular value decomposition, 'eigen' for an eigendecomposition. All approaches provide identical output. Some approaches are (in some cases) faster than others. |
k |
numeric. The number of components to return. |
A list with the following items:
u |
Left singular vectors (rows) |
v |
Right singular vectors (columns) |
d |
Singular values |
tau |
Explained variance per component |
Derek Beaton