| big.algebra.install.help | Attempt to install the bigalgebra package |
| big.PCA | PCA/Singular Value Decomposition for big.matrix |
| bigpca-internal | Internal bigpca Functions |
| bigpca-package | PCA, Transpose and Multicore Functionality for 'big.matrix'... |
| big.select | Select a subset of a big.matrix |
| big.t | Transpose function 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... |
| estimate.eig.vpcs | Estimate the variance percentages for uncalculated... |
| 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 |
| PC.correct | Correct a big.matrix by principle components |
| 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... |
| 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 |
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