Runs the singular value decomposition over the matrix x.
Assumes that samples = rows, and columns = features.
Arguments
- x
Numeric matrix. Rows = samples, columns = features.
- scale
Boolean. Shall the columns additionally be scaled.
Value
A list with:
scores - The product of x (centred and potentially scaled) with v.
v - v matrix of the SVD.
s - Eigenvalues of the SVD.
scaled - Boolean. Was the matrix scaled.