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matrixStats (version 0.8.12)

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.

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Version

Install

install.packages('matrixStats')

Monthly Downloads

1,109,627

Version

0.8.12

License

Artistic-2.0

Maintainer

Henrik Bengtsson

Last Published

September 27th, 2013

Functions in matrixStats (0.8.12)

binCounts

Fast element counting in non-overlapping bins
binMeans

Fast mean calculations in non-overlapping bins
indexByRow

Translates matrix indices by rows into indices by columns
rowIQRs

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

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

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

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

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

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

Calculates the weighted medians 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)
matrixStats-package

Package matrixStats
rowProds

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

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

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

Extracts one cell per row (column) from 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
rowVars

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

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

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

Weighted Median Value
logSumExp

Accurately computes the logarithm of the sum of exponentials
rowOrderStats

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

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

Weighted Median Absolute Deviation (MAD)