Package index • matrixStats

All functions
`anyMissing()` `colAnyMissings()` `rowAnyMissings()` `colAnyNAs()` `rowAnyNAs()`	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
`indexByRow()`	Translates matrix indices by rows into indices by columns
`logSumExp()`	Accurately computes the logarithm of the sum of exponentials
`matrixStats-package` `matrixStats`	Package matrixStats
`rowAlls()` `colAlls()` `allValue()` `rowAnys()` `colAnys()` `anyValue()`	Checks if a value exists / does not exist in each row (column) of a matrix
`rowCollapse()` `colCollapse()`	Extracts one cell per row (column) from a matrix
`rowCounts()` `colCounts()` `count()`	Counts the number of occurrences of a specific value
`rowCumsums()` `colCumsums()` `rowCumprods()` `colCumprods()` `rowCummins()` `colCummins()` `rowCummaxs()` `colCummaxs()`	Cumulative sums, products, minima and maxima for each row (column) in a matrix
`rowDiffs()` `colDiffs()`	Calculates difference for each row (column) in a matrix
`rowIQRs()` `colIQRs()` `iqr()`	Estimates of the interquartile range for each row (column) in a matrix
`rowLogSumExps()` `colLogSumExps()`	Accurately computes the logarithm of the sum of exponentials across rows or columns
`rowMeans2()` `colMeans2()`	Calculates the mean for each row (column) in a matrix
`rowMedians()` `colMedians()`	Calculates the median for each row (column) in a matrix
`rowOrderStats()` `colOrderStats()`	Gets an order statistic for each row (column) in a matrix
`product()` `rowProds()` `colProds()`	Calculates the product for each row (column) in a matrix
`rowQuantiles()` `colQuantiles()`	Estimates quantiles for each row (column) in a matrix
`rowRanges()` `rowMins()` `rowMaxs()` `colRanges()` `colMins()` `colMaxs()`	Gets the range of values in each row (column) of a matrix
`rowRanks()` `colRanks()`	Gets the rank of the elements in each row (column) of a matrix
`rowMads()` `colMads()` `rowSds()` `colSds()`	Standard deviation estimates for each row (column) in a matrix
`rowSums2()` `colSums2()`	Calculates the sum for each row (column) in a matrix
`rowTabulates()` `colTabulates()`	Tabulates the values in a matrix by row (column).
`rowVars()` `colVars()`	Variance estimates for each row (column) in a matrix
`rowWeightedMeans()` `colWeightedMeans()`	Calculates the weighted means for each row (column) in a matrix
`rowWeightedMedians()` `colWeightedMedians()`	Calculates the weighted medians for each row (column) in a matrix
`varDiff()` `sdDiff()` `madDiff()` `iqrDiff()` `rowVarDiffs()` `colVarDiffs()` `rowSdDiffs()` `colSdDiffs()` `rowMadDiffs()` `colMadDiffs()` `rowIQRDiffs()` `colIQRDiffs()`	Estimation of scale based on sequential-order differences
`weightedMad()` `rowWeightedMads()` `colWeightedMads()`	Weighted Median Absolute Deviation (MAD)
`weightedMean()`	Weighted Arithmetic Mean
`weightedMedian()`	Weighted Median Value
`weightedVar()` `weightedSd()` `rowWeightedVars()` `colWeightedVars()` `rowWeightedSds()` `colWeightedSds()`	Weighted variance and weighted standard deviation

Reference

All functions