svdc: The completed SVD
In rrscale: Robust Re-Scaling to Better Recover Latent Effects in Data

This calculates right and left singular vectors of a data matrix possibly containing missing values.

1	svdc(X, nu = NULL, nv = NULL)

`X`	the data matrix of which to calcluate the completed SVD.
`nu`	the number of left singular vectors to calculate
`nv`	the nubmer of right singular vectors to calculate

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Y <- rnorm(10)%*%t(rnorm(10))
Y[1,1] <- NA
svdc.out <- svdc(Y)

rrscale documentation built on July 2, 2020, 2:15 a.m.

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