matrixStats v0.57.0

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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
allocMatrix Allocates an empty vector, matrix or array
rowCounts Counts the number of occurrences of a specific value
rowOrderStats Gets an order statistic for each row (column) in a matrix
rowVars Variance estimates for each row (column) in a matrix
rowMedians Calculates the median for each row (column) in a matrix
anyMissing Checks if there are any missing values in an object or not
binCounts Fast element counting in non-overlapping bins
binMeans Fast mean calculations in non-overlapping bins
rowIQRs Estimates of the interquartile range 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)
rowTabulates Tabulates the values in a matrix by row (column).
weightedMad Weighted Median Absolute Deviation (MAD)
rowAlls Checks if a value exists / does not exist in each row (column) of a matrix
validateIndices Validate indices
rowDiffs Calculates difference for each row (column) in a matrix
weightedMean Weighted Arithmetic Mean
mean2 Fast averaging over subset of vector elements
rowWeightedMeans Calculates the weighted means for each row (column) in a matrix
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
product Calculates the product for each row (column) in a matrix
logSumExp Accurately computes the logarithm of the sum of exponentials
signTabulate Calculates the number of negative, zero, positive and missing values
diff2 Fast lagged differences
rowWeightedMedians Calculates the weighted medians for each row (column) in a matrix
rowSums2 Calculates the sum for each row (column) in a matrix
varDiff Estimation of scale based on sequential-order differences
sum2 Fast sum over subset of vector elements
rowLogSumExps Accurately computes the logarithm of the sum of exponentials across rows or columns
indexByRow Translates matrix indices by rows into indices by columns
weightedMedian Weighted Median Value
matrixStats-package Package matrixStats
x_OP_y Fast calculation of 'z <- x OP y' and 'z <- t(t(x) OP y)'
rowCollapse Extracts one cell per row (column) from a matrix
rowMeans2 Calculates the mean for each row (column) in a matrix
rowRanks Gets the rank of the elements in each row (column) of a matrix
rowRanges Gets the range of values in each row (column) of a matrix
rowQuantiles Estimates quantiles for each row (column) in a matrix
weightedVar Weighted variance and weighted standard deviation
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Vignettes of matrixStats

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matrixStats-methods.md.rsp
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Details

VignetteBuilder R.rsp
License Artistic-2.0
LazyLoad TRUE
NeedsCompilation yes
ByteCompile TRUE
URL https://github.com/HenrikBengtsson/matrixStats
BugReports https://github.com/HenrikBengtsson/matrixStats/issues
RoxygenNote 7.1.1
Packaged 2020-09-25 18:43:17 UTC; hb
Repository CRAN
Date/Publication 2020-09-25 22:00:02 UTC

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