# matrixStats v0.57.0

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## Functions that Apply to Rows and Columns of Matrices (and to Vectors)

High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().

## Functions in matrixStats

 Name Description allocMatrix Allocates an empty vector, matrix or array rowCounts Counts the number of occurrences of a specific value rowOrderStats Gets an order statistic for each row (column) in a matrix rowVars Variance estimates for each row (column) in a matrix rowMedians Calculates the median for each row (column) in a matrix anyMissing Checks if there are any missing values in an object or not binCounts Fast element counting in non-overlapping bins binMeans Fast mean calculations in non-overlapping bins rowIQRs Estimates of the interquartile range for each row (column) in a matrix rowAvgsPerColSet Applies a row-by-row (column-by-column) averaging function to equally-sized subsets of matrix columns (rows) rowTabulates Tabulates the values in a matrix by row (column). weightedMad Weighted Median Absolute Deviation (MAD) rowAlls Checks if a value exists / does not exist in each row (column) of a matrix validateIndices Validate indices rowDiffs Calculates difference for each row (column) in a matrix weightedMean Weighted Arithmetic Mean mean2 Fast averaging over subset of vector elements rowWeightedMeans Calculates the weighted means for each row (column) in a matrix rowCumsums Cumulative sums, products, minima and maxima for each row (column) in a matrix rowMads Standard deviation estimates for each row (column) in a matrix product Calculates the product for each row (column) in a matrix logSumExp Accurately computes the logarithm of the sum of exponentials signTabulate Calculates the number of negative, zero, positive and missing values diff2 Fast lagged differences rowWeightedMedians Calculates the weighted medians for each row (column) in a matrix rowSums2 Calculates the sum for each row (column) in a matrix varDiff Estimation of scale based on sequential-order differences sum2 Fast sum over subset of vector elements rowLogSumExps Accurately computes the logarithm of the sum of exponentials across rows or columns indexByRow Translates matrix indices by rows into indices by columns weightedMedian Weighted Median Value matrixStats-package Package matrixStats x_OP_y Fast calculation of 'z <- x OP y' and 'z <- t(t(x) OP y)' rowCollapse Extracts one cell per row (column) from a matrix rowMeans2 Calculates the mean for each row (column) in a matrix rowRanks Gets the rank of the elements in each row (column) of a matrix rowRanges Gets the range of values in each row (column) of a matrix rowQuantiles Estimates quantiles for each row (column) in a matrix weightedVar Weighted variance and weighted standard deviation No Results!