Tabulates the values in a matrix by row (column)
Extracts one cell per row (column) from a matrix
Fast sum over subset of vector elements
Checks if there are any missing values in an object or not
Estimation of scale based on sequential-order differences
Standard deviation estimates for each row (column) in a matrix
Calculates the median for each row (column) in a matrix
Fast mean calculations in non-overlapping bins
Package matrixStats
Accurately computes the logarithm of the sum of exponentials
Calculates the number of negative, zero, positive and missing values
Allocates an empty vector, matrix or array
Estimates of the interquartile range for each row (column) in a matrix
Weighted Median Absolute Deviation (MAD)
Calculates the weighted medians for each row (column) in a matrix
Fast averaging over subset of vector elements
Gets the rank of each row (column) of a matrix
Applies a row-by-row (column-by-column) averaging function to equally-sized subsets of matrix columns (rows)
Weighted Arithmetic Mean
Calculates difference for each row (column) in a matrix
Weighted Median Value
Fast calculation of 'z <- x OP y' and 'z <- t(t(x) OP y)'
Fast element counting in non-overlapping bins
Gets an order statistic for each row (column) in a matrix
Variance estimates for each row (column) in a matrix
Cumulative sums, products, minima and maxima for each row (column) in a matrix
Translates matrix indices by rows into indices by columns
Counts the number of TRUE values in each row (column) of a matrix
Weighted variance and weighted standard deviation
Accurately computes the logarithm of the sum of exponentials across rows or columns
Calculates the weighted means for each row (column) in a matrix
Estimates quantiles for each row (column) in a matrix
Fast lagged differences
Gets the range of values in each row (column) of a matrix
Calculates the product for each row (column) in a matrix