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matrixStats

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 (39)

allocMatrix

Allocates an empty vector, matrix or array

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

diff2

Fast lagged differences

indexByRow

Translates matrix indices by rows into indices by columns

logSumExp

Accurately computes the logarithm of the sum of exponentials

matrixStats-package

Package matrixStats

mean2

Fast averaging over subset of vector elements

rowAlls

Checks if a value exists / does not exist in each row (column) of a matrix

rowAvgsPerColSet

Applies a row-by-row (column-by-column) averaging function to equally-sized subsets of matrix columns (rows)

rowCollapse

Extracts one cell per row (column) from a matrix

rowCounts

Counts the number of occurrences of a specific value

rowCumsums

Cumulative sums, products, minima and maxima for each row (column) in a matrix

rowDiffs

Calculates difference for each row (column) in a matrix

rowIQRs

Estimates of the interquartile range for each row (column) in a matrix

rowLogSumExps

Accurately computes the logarithm of the sum of exponentials across rows or columns

rowMeans2

Calculates the mean for each row (column) in a matrix

rowMedians

Calculates the median for each row (column) in a matrix

rowOrderStats

Gets an order statistic for each row (column) in a matrix

rowProds

Calculates the product for each row (column) in a matrix

rowQuantiles

Estimates quantiles for each row (column) in a matrix

rowRanges

Gets the range of values in each row (column) of a matrix

rowRanks

Gets the rank of the elements in each row (column) of a matrix

rowSds

Standard deviation estimates for each row (column) in a matrix

rowSums2

Calculates the sum for each row (column) in a matrix

rowTabulates

Tabulates the values in a matrix by row (column).

rowVars

Variance estimates for each row (column) in a matrix

rowWeightedMeans

Calculates the weighted means for each row (column) in a matrix

rowWeightedMedians

Calculates the weighted medians for each row (column) in a matrix

signTabulate

Calculates the number of negative, zero, positive and missing values

sum2

Fast sum over subset of vector elements

validateIndices

Validate indices

varDiff

Estimation of scale based on sequential-order differences

weightedMad

Weighted Median Absolute Deviation (MAD)

weightedMean

Weighted Arithmetic Mean

weightedMedian

Weighted Median Value

weightedVar

Weighted variance and weighted standard deviation

x_OP_y

Fast calculation of 'z <- x OP y' and 'z <- t(t(x) OP y)'

matrixStats

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

v0.58.0

Artistic-2.0

Authors

Henrik Bengtsson [aut, cre, cph], Constantin Ahlmann-Eltze [ctb], Hector Corrada Bravo [ctb], Robert Gentleman [ctb], Jan Gleixner [ctb], Peter Hickey [ctb], Ola Hossjer [ctb], Harris Jaffee [ctb], Dongcan Jiang [ctb], Peter Langfelder [ctb], Brian Montgomery [ctb], Hugh Parsonage [ctb]

Initial release

matrixStats

Functions (39)

matrixStats

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