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