# matrixStats v0.54.0

0

Monthly downloads

0th

Percentile

## Functions that Apply to Rows and Columns of Matrices (and to Vectors)

High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().

## Functions in matrixStats

 Name Description logSumExp Accurately computes the logarithm of the sum of exponentials diff2 Fast lagged differences rowRanges Gets the range of values in each row (column) of a matrix rowRanks Gets the rank of each row (column) of a matrix binCounts Fast element counting in non-overlapping bins indexByRow Translates matrix indices by rows into indices by columns rowDiffs Calculates difference for each row (column) in a matrix binMeans Fast mean calculations in non-overlapping bins rowMedians Calculates the median for each row (column) in a matrix 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 product Calculates the product for each row (column) in a matrix allocMatrix Allocates an empty vector, matrix or array validateIndices Validate indices anyMissing Checks if there are any missing values in an object or not rowQuantiles Estimates quantiles for each row (column) in a matrix mean2 Fast averaging over subset of vector elements varDiff Estimation of scale based on sequential-order differences rowCounts Counts the number of occurrences of a specific value weightedMedian Weighted Median Value rowCumsums Cumulative sums, products, minima and maxima for each row (column) in a matrix rowMads Standard deviation estimates for each row (column) in a matrix weightedVar Weighted variance and weighted standard deviation rowAlls Checks if a value exists / does not exist in each row (column) of a matrix rowLogSumExps Accurately computes the logarithm of the sum of exponentials across rows or columns rowMeans2 Calculates the mean for each row (column) in a matrix rowAvgsPerColSet Applies a row-by-row (column-by-column) averaging function to equally-sized subsets of matrix columns (rows) rowSums2 Calculates the sum for each row (column) in a matrix rowCollapse Extracts one cell per row (column) from a matrix signTabulate Calculates the number of negative, zero, positive and missing values rowWeightedMeans Calculates the weighted means for each row (column) in a matrix rowWeightedMedians Calculates the weighted medians for each row (column) in a matrix rowTabulates Tabulates the values in a matrix by row (column) sum2 Fast sum over subset of vector elements rowVars Variance estimates for each row (column) in a matrix x_OP_y Fast calculation of 'z <- x OP y' and 'z <- t(t(x) OP y)' weightedMad Weighted Median Absolute Deviation (MAD) weightedMean Weighted Arithmetic Mean matrixStats-package Package matrixStats No Results!

## Vignettes of matrixStats

 Name matrixStats-methods.md.rsp No Results!

## Details

 VignetteBuilder R.rsp Date 2018-07-23 License Artistic-2.0 LazyLoad TRUE NeedsCompilation yes ByteCompile TRUE URL https://github.com/HenrikBengtsson/matrixStats BugReports https://github.com/HenrikBengtsson/matrixStats/issues RoxygenNote 6.0.1 Packaged 2018-07-23 15:25:55 UTC; hb Repository CRAN Date/Publication 2018-07-23 20:40:03 UTC
 suggests base64enc , ggplot2 , knitr , microbenchmark , R.devices , R.rsp depends R (>= 2.12.0) Contributors Dongcan Jiang, Peter Langfelder, Hector Corrada Bravo, Robert Gentleman, Harris Jaffee, Ola Hossjer, Peter Hickey