PC.correct              Correct a big.matrix by principle components
big.PCA                 PCA/Singular Value Decomposition for big.matrix
big.algebra.install.help
                        Attempt to install the bigalgebra package
big.select              Select a subset of a big.matrix
big.t                   Transpose function for big.matrix objects
bigpca-package          PCA, Transpose and Multicore Functionality for
                        'big.matrix' Objects
bmcapply                A multicore 'apply' function for big.matrix
                        objects
clear_active_bms        Function to clear big.matrix objects in the
                        calling environment
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
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
