pbdML: Programming with Big Data -- Machine Learning

Description Usage Arguments Value Author(s) References Examples

View source: R/decomp_recomp.r

Exclude the variance contributed by the principal components enumerated in the vector exclude from the data matrix.

1	decomp_recomp(x, exclude, center = TRUE, scale = FALSE)

`x`	A matrix or ddmatrix of numeric values.
`exclude`	A vector of positive integer values which are the principal components whose variance contribution should be removed.
`center`	Logical; determines if the matrix should be centered first.
`scale`	Logical; determines if the matrix should be scaled first.

A matrix or ddmatrix, matching the same type as the input x.

Drew Schmidt

Inspired by a question from Ahmed Moustafa: https://twitter.com/AhmedMoustafa/status/646310686725812224

## Not run: 
## TODO add mpirun message boilerplate
library(pbdDMAT)
init.grid()

x <- ddmatrix("rnorm", nrow=100, ncol=10, bldim=c(2,2))
# Remove the contribution of PC 1's variance
decomp_recomp(x, 1)

finalize()

## End(Not run)