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matrixStats (version 0.50.1)

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

Description

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 weightedMedians().

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Install

install.packages('matrixStats')

Monthly Downloads

1,109,627

Version

0.50.1

License

Artistic-2.0

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Maintainer

Henrik Bengtsson

Last Published

December 15th, 2015

Functions in matrixStats (0.50.1)

binCounts

Fast element counting in non-overlapping bins
rowCollapse

Extracts one cell per row (column) from a matrix
indexByRow

Translates matrix indices by rows into indices by columns
rowMedians

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

Weighted Median Value
rowDiffs

Calculates difference for each row (column) in a matrix
weightedMad

Weighted Median Absolute Deviation (MAD)
sumOver

Fast sum over subset of vector elements
rowLogSumExps

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

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

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

Validate indices
rowCumsums

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

Estimates quantiles for each row (column) in a matrix
rowVars

Variance estimates for each row (column) in a matrix
allocMatrix

Allocates an empty vector, matrix or array
rowIQRs

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

Fast averaging over subset of vector elements
varDiff

Estimation of scale based on sequential-order differences
rowWeightedMedians

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

Fast calculation of 'z <- x OP y' and 'z <- t(t(x) OP y)'
diff2

Fast lagged differences
rowOrderStats

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

Counts the number of TRUE values in each row (column) of a matrix
rowRanges

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

Checks if there are any missing values in an object or not
binMeans

Fast mean calculations in non-overlapping bins
rowWeightedMeans

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

Package matrixStats
weightedVar

Weighted variance and weighted standard deviation
rowProds

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

Weighted Arithmetic Mean
rowRanks

Gets the rank of each row (column) of a matrix
logSumExp

Accurately computes the logarithm of the sum of exponentials
signTabulate

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

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