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| abind::abind | Combine multi-dimensional arrays | |
| abind::acorn | Return a corner of an array object (like head) | |
| abind::adrop | Drop dimensions of an array object | |
| abind::afill | Fill an array with subarrays | |
| abind::asub | Arbitrary subsetting of array-like objects at specified indices | |
| car::wcrossprod | Weighted Matrix Crossproduct | |
| data.table::as.matrix | Convert a data.table to a matrix | |
| e1071::element | Extract Elements of an Array | |
| e1071::scale_data_frame | Scaling and Centering of Data Frames | |
| MatrixModels::lm.fit.sparse | Fitter Function for Sparse Linear Models | |
| matrixStats::rowAlls | Checks if a value exists / does not exist in each row (column) of a matrix | |
| matrixStats::rowCounts | Counts the number of occurrences of a specific value | |
| matrixStats::rowCumsums | Cumulative sums, products, minima and maxima for each row (column) in a matrix | |
| matrixStats::rowDiffs | Calculates difference for each row (column) in a matrix | |
| matrixStats::rowIQRs | Estimates of the interquartile range for each row (column) in a matrix | |
| matrixStats::rowLogSumExps | Accurately computes the logarithm of the sum of exponentials across rows or columns | |
| matrixStats::rowMeans2 | Calculates the mean for each row (column) in a matrix | |
| matrixStats::rowMedians | Calculates the median for each row (column) in a matrix | |
| matrixStats::rowOrderStats | Gets an order statistic for each row (column) in a matrix | |
| matrixStats::product | Calculates the product for each row (column) in a matrix | |
| matrixStats::rowQuantiles | Estimates quantiles for each row (column) in a matrix | |
| matrixStats::rowRanges | Gets the range of values in each row (column) of a matrix | |
| matrixStats::rowRanks | Gets the rank of the elements in each row (column) of a matrix | |
| matrixStats::rowMads | Standard deviation estimates for each row (column) in a matrix | |
| matrixStats::rowSums2 | Calculates the sum for each row (column) in a matrix | |
| matrixStats::rowVars | Variance estimates for each row (column) in a matrix | |
| matrixStats::rowWeightedMeans | Calculates the weighted means for each row (column) in a matrix | |
| matrixStats::rowWeightedMedians | Calculates the weighted medians for each row (column) in a matrix | |
| slam::abind_simple_sparse_array | Combine Sparse Arrays | |
| slam::rowapply_simple_triplet_matrix | Apply Functions Over Sparse Matrix Margins | |
| slam::tcrossprod_simple_triplet_matrix | Matrix Crossproduct | |
| slam::rollup | Rollup Sparse Arrays | |
| slam::row_sums | Form Row and Column Sums and Means | |
| xtable::autoformat | Automatically Format Export Tables | |
| zoo::rollapply | Apply Rolling Functions | |
| base::aperm | Array Transposition | |
| base::apply | Apply Functions Over Array Margins | |
| base::array | Multi-way Arrays | |
| base::asplit | Split Array/Matrix By Its Margins | |
| base::backsolve | Solve an Upper or Lower Triangular System | |
| base::cbind | Combine R Objects by Rows or Columns | |
| base::chol | The Cholesky Decomposition | |
| base::chol2inv | Inverse from Cholesky (or QR) Decomposition | |
| base::col | Column Indexes | |
| base::rownames | Row and Column Names | |
| base::colSums | Form Row and Column Sums and Means | |
| base::crossprod | Matrix Crossproduct | |
| base::data.matrix | Convert a Data Frame to a Numeric Matrix | |
| base::det | Calculate the Determinant of a Matrix | |
| base::diag | Matrix Diagonals | |
| base::dim | Dimensions of an Object | |
| base::dimnames | Dimnames of an Object | |
| base::drop | Drop Redundant Extent Information | |
| base::eigen | Spectral Decomposition of a Matrix | |
| base::expand.grid | Create a Data Frame from All Combinations of Factor Variables | |
| base::[.data.frame | Extract or Replace Parts of a Data Frame | |
| base::Extract | Extract or Replace Parts of an Object | |
| base::isSymmetric | Test if a Matrix or other Object is Symmetric (Hermitian) | |
| base::kronecker | Kronecker Products on Arrays | |
| base::lower.tri | Lower and Upper Triangular Part of a Matrix | |
| base::marginSums | Compute table margins | |
| base::mat.or.vec | Create a Matrix or a Vector | |
| base::%*% | Matrix Multiplication | |
| base::matrix | Matrices | |
| base::max.col | Find Maximum Position in Matrix | |
| base::merge | Merge Two Data Frames | |
| base::nrow | The Number of Rows/Columns of an Array | |
| base::outer | Outer Product of Arrays | |
| base::proportions | Express Table Entries as Fraction of Marginal Table | |
| base::qr | The QR Decomposition of a Matrix | |
| base::qr.X | Reconstruct the Q, R, or X Matrices from a QR Object | |
| base::row | Row Indexes | |
| base::scale | Scaling and Centering of Matrix-like Objects | |
| base::slice.index | Slice Indexes in an Array | |
| base::svd | Singular Value Decomposition of a Matrix | |
| base::sweep | Sweep out Array Summaries | |
| base::t | Matrix Transpose | |
| cluster::lower.to.upper.tri.inds | Permute Indices for Triangular Matrices | |
| graphics::matplot | Plot Columns of Matrices | |
| Matrix::Cholesky | Cholesky Decomposition of a Sparse Matrix | |
| Matrix::Diagonal | Construct a Diagonal Matrix | |
| Matrix::Hilbert | Generate a Hilbert matrix | |
| Matrix::KhatriRao | Khatri-Rao Matrix Product | |
| Matrix::Matrix | Construct a Classed Matrix | |
| Matrix::[<--methods | Methods for "[<-" - Assigning to Subsets for 'Matrix' | |
| Matrix::[-methods | Methods for "[": Extraction or Subsetting in Package 'Matrix' | |
| Matrix::bandSparse | Construct Sparse Banded Matrix from (Sup-/Super-) Diagonals | |
| Matrix::bdiag | Construct a Block Diagonal Matrix | |
| Matrix::cBind | 'cbind()' and 'rbind()' recursively built on cbind2/rbind2 | |
| Matrix::chol | The Cholesky Decomposition - 'Matrix' S4 Generic and Methods | |
| Matrix::colSums | Form Row and Column Sums and Means | |
| Matrix::drop0 | Drop "Explicit Zeroes" from a Sparse Matrix | |
| Matrix::readHB | Read and write external matrix formats | |
| Matrix::facmul | Multiplication by Decomposition Factors | |
| Matrix::forceSymmetric | Force a Matrix to 'symmetricMatrix' Without Symmetry Checks | |
| Matrix::kronecker-methods | Methods for Function 'kronecker()' in Package 'Matrix' | |
| Matrix::lu | (Generalized) Triangular Decomposition of a Matrix | |
| Matrix::nearPD | Nearest Positive Definite Matrix | |
| Matrix::qr | QR Decomposition - S4 Methods and Generic | |
| Matrix::rankMatrix | Rank of a Matrix | |
| Matrix::rcond | Estimate the Reciprocal Condition Number | |
| Matrix::rsparsematrix | Random Sparse Matrix | |
| Matrix::spMatrix | Sparse Matrix Constructor From Triplet | |
| Matrix::sparseMatrix | General Sparse Matrix Construction from Nonzero Entries | |
| Matrix::sparseQR-class | Sparse QR decomposition of a sparse matrix | |
| Matrix::sparseVector | Sparse Vector Construction from Nonzero Entries | |
| Matrix::symmpart | Symmetric Part and Skew(symmetric) Part of a Matrix | |
| Matrix::pack | Representation of Packed and Unpacked Dense Matrices | |
| methods::cbind2 | Combine two Objects by Columns or Rows | |
| stats::addmargins | Puts Arbitrary Margins on Multidimensional Tables or Arrays | |
| stats::aggregate | Compute Summary Statistics of Data Subsets | |
| stats::contr.helmert | (Possibly Sparse) Contrast Matrices | |
| stats::var | Correlation, Variance and Covariance (Matrices) | |
| stats::lm.fit | Fitter Functions for Linear Models |