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