rowSums2: Calculates the sum for each row (column) in a matrix.

rowSds: Standard deviation estimates for each row (column) in a.rowRanks: Gets the rank of the elements in each row (column) of a.rowRanges: Gets the range of values in each row (column) of a matrix.rowQuantiles: Estimates quantiles for each row (column) in a matrix.rowProds: Calculates the product for each row (column) in a matrix.rowOrderStats: Gets an order statistic for each row (column) in a matrix.rowMedians: Calculates the median for each row (column) in a matrix.rowMeans2: Calculates the mean for each row (column) in a matrix.rowLogSumExps: Accurately computes the logarithm of the sum of exponentials.rowIQRs: Estimates of the interquartile range for each row (column) in.rowDiffs: Calculates difference for each row (column) in a matrix.rowCumsums: Cumulative sums, products, minima and maxima for each row.rowCounts: Counts the number of occurrences of a specific value.rowCollapse: Extracts one cell per row (column) from a matrix.rowAvgsPerColSet: Applies a row-by-row (column-by-column) averaging function to.rowAlls: Checks if a value exists / does not exist in each row.mean2: Fast averaging over subset of vector elements.matrixStats-package: Package matrixStats.logSumExp: Accurately computes the logarithm of the sum of exponentials.

indexByRow: Translates matrix indices by rows into indices by columns.binMeans: Fast mean calculations in non-overlapping bins.binCounts: Fast element counting in non-overlapping bins.anyMissing: Checks if there are any missing values in an object or not.allocMatrix: Allocates an empty vector, matrix or array.

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