PCA, transpose and multicore functionality for big.matrix objects

Documentation for package ‘bigpca’ version 1.0

bigpca-package	PCA, transpose and multicore functionality for big.matrix objects
big.algebra.install.help	Attempt to install the bigalgebra package
big.PCA	PCA/Singular Value Decomposition for big.matrix
big.select	Select a subset of a big.matrix
big.t	Transpose function for big.matrix objects
bigpca	PCA, transpose and multicore functionality for big.matrix objects
bmcapply	A multicore 'apply' function for big.matrix objects
estimate.eig.vpcs	Estimate the variance percentages for uncalculated eigenvalues
generate.test.matrix	Generate a test matrix of random data
get.big.matrix	Retrieve a big.matrix object
import.big.data	Load a text file into a big.matrix object
PC.correct	Correct a big.matrix by principle components
pca.scree.plot	Make scree plots for any PCA
prv.big.matrix	Tidier display function for big matrix objects
quick.elbow	Quickly estimate the 'elbow' of a scree plot (PCA)
quick.pheno.assocs	Quick association tests for phenotype
select.least.assoc	Select subset of rows least associated with a categorical variable
subcor.select	Selection of the most correlated variable subset
subpc.select	Selection of a representative variable subset
svn.bigalgebra.install	Attempt to install the bigalgebra package using SVN
thin	Reduce one dimension of a large matrix in a strategic way
uniform.select	Derive a subset of a large dataset