svd.triplet | R Documentation |
Compute the singular-value decomposition of a rectangular matrix with weights for rows and columns.
svd.triplet(X, row.w=NULL, col.w=NULL, ncp=Inf)
X |
a data matrix |
row.w |
vector with the weights of each row (NULL by default and the weights are uniform) |
col.w |
vector with the weights of each column (NULL by default and the weights are uniform) |
ncp |
the number of components kept for the outputs |
vs |
a vector containing the singular values of 'x'; |
u |
a matrix whose columns contain the left singular vectors of 'x'; |
v |
a matrix whose columns contain the right singular vectors of 'x'. |
svd
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