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