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matrixStats (version 0.14.2)

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

Description

Methods operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). There are also some vector-based methods, e.g. binMeans(), madDiff() and weightedMedians(). All methods have been optimized for speed and memory usage.

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Install

install.packages('matrixStats')

Monthly Downloads

1,109,627

Version

0.14.2

License

Artistic-2.0

Issues

55

Pull Requests

2

Stars

213

Forks

35

Maintainer

Henrik Bengtsson

Last Published

June 24th, 2015

Functions in matrixStats (0.14.2)

binCounts

Fast element counting in non-overlapping bins
rowCumsums

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

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

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

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

Weighted Median Absolute Deviation (MAD)
anyMissing

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

Accurately computes the logarithm of the sum of exponentials
binMeans

Fast mean calculations in non-overlapping bins
allocMatrix

Allocates an empty vector, matrix or array
rowQuantiles

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

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

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

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

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

Translates matrix indices by rows into indices by columns
weightedVar

Weighted variance and weighted standard deviation
weightedMean

Weighted Arithmetic Mean
matrixStats-package

Package matrixStats
rowAvgsPerColSet

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

Estimation of scale based on sequential-order differences
signTabulate

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

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

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

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

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

Gets an order statistic for each row (column) in a matrix
diff2

Fast lagged differences
meanOver

Fast averaging over subset of vector elements
sumOver

Fast sum over subset of vector elements
rowDiffs

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

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

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

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

Weighted Median Value