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matrixStats (version 0.12.2)

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

207,570

Version

0.12.2

License

Artistic-2.0

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Repository

https://github.com/HenrikBengtsson/matrixStats

Maintainer

Henrik Bengtsson

Last Published

December 7th, 2014

Functions in matrixStats (0.12.2)

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

Fast mean calculations in non-overlapping bins

Estimation of discrepancies based on sequential order differences in a vector

Weighted Median Absolute Deviation (MAD)

rowWeightedMedians.matrix

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

Allocates an empty vector, matrix or array

Extracts one cell per row (column) from a matrix

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

Fast averaging over subset of vector elements

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

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

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

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

Translates matrix indices by rows into indices by columns

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

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

Fast element counting in non-overlapping bins

Variance estimates for each row (column) in a matrix

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

Calculates difference 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)

Weighted Median Value

Fast sum over subset of vector elements

Weighted variance

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

rowWeightedMeans.matrix

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

matrixStats-package

Package matrixStats

xUNDERSCOREOPUNDERSCOREy

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

Estimates quantiles for each row (column) in a matrix

Tabulates the values in a matrix by row (column)

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

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

Accurately computes the logarithm of the sum of exponentials