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matrixStats (version 0.14.0)

Methods that Apply to Rows and Columns of a Matrix

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

0.14.0

License

Artistic-2.0

Issues

55

Pull Requests

2

Stars

213

Forks

35

Maintainer

Henrik Bengtsson

Last Published

February 14th, 2015

Functions in matrixStats (0.14.0)

weightedMedian

Weighted Median Value
rowQuantiles

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

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

Gets the range of values 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)
rowWeightedMedians

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

Allocates an empty vector, matrix or array
rowCumsums

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

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

Fast element counting in non-overlapping bins
binMeans

Fast mean calculations in non-overlapping bins
logSumExp

Accurately computes the logarithm of the sum of exponentials
rowWeightedMeans

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

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

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

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

Weighted Arithmetic Mean
rowRanks

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

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

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

Weighted variance and weighted standard deviation
anyMissing

Checks if there are any missing values in an object or not
diff2

Fast lagged differences
xUNDERSCOREOPUNDERSCOREy

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

Weighted Median Absolute Deviation (MAD)
rowLogSumExps

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

Translates matrix indices by rows into indices by columns
matrixStats-package

Package matrixStats
varDiff

Estimation of scale based on sequential-order differences
sumOver

Fast sum over subset of vector elements
rowIQRs

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

Fast averaging over subset of vector elements
rowOrderStats

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

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

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