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