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matrixStats (version 0.8.1)

Methods that apply to rows and columns of a matrix

Description

This packages provides methods operating on rows and columns of matrices, e.g. col/rowMedians() and col/rowRanks(). There are also some vector-based methods, e.g. anyMissing(), weightedMedians(), and binMeans(). The objective is to have all methods being optimized for speed and memory consumption.

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Version

Install

install.packages('matrixStats')

Monthly Downloads

1,109,627

Version

0.8.1

License

Artistic-2.0

Maintainer

Henrik Bengtsson

Last Published

May 2nd, 2013

Functions in matrixStats (0.8.1)

rowLogSumExps

Accurately computes the logarithm of the sum of exponentials across rows or columns
matrixStats-package

Package matrixStats
rowProds

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

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

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

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

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

Fast element counting in non-overlapping bins
varDiff

Estimation of discrepancies based on sequential order differences in a vector
rowIQRs

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

Translates matrix indices by rows into indices by columns
anyMissing

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

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

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

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

Weighted Median Value
rowWeightedMedians.matrix

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

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

Weighted Median Absolute Deviation (MAD)
rowVars

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

Accurately computes the logarithm of the sum of exponentials
rowWeightedMeans.matrix

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

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

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

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

Fast mean calculations in non-overlapping bins