# Functions that Apply to Rows and Columns of 'DelayedMatrix' Objects

## Documentation for package ‘DelayedMatrixStats’ version 1.0.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

C D R

DelayedMatrixStats-package | DelayedMatrixStats: Functions that apply to rows and columns of _DelayedMatrix_ objects.

## -- C --

colAlls | Checks if a value exists / does not exist in each row (column) of a matrix
colAlls-method | Checks if a value exists / does not exist in each row (column) of a matrix
colAnyMissings | Checks if there are any missing values in an object or not
colAnyMissings-method | Checks if there are any missing values in an object or not
colAnyNAs | Checks if there are any missing values in an object or not
colAnyNAs-method | Checks if there are any missing values in an object or not
colAnys | Checks if a value exists / does not exist in each row (column) of a matrix
colAnys-method | Checks if a value exists / does not exist in each row (column) of a matrix
colCollapse | Extracts one cell per row (column) from a matrix
colCollapse-method | Extracts one cell per row (column) from a matrix
colCounts | Counts the number of occurrences of a specific value
colCounts-method | Counts the number of occurrences of a specific value
colCummaxs | Cumulative sums, products, minima and maxima for each row (column) in a matrix
colCummaxs-method | Cumulative sums, products, minima and maxima for each row (column) in a matrix
colCummins | Cumulative sums, products, minima and maxima for each row (column) in a matrix
colCummins-method | Cumulative sums, products, minima and maxima for each row (column) in a matrix
colCumprods | Cumulative sums, products, minima and maxima for each row (column) in a matrix
colCumprods-method | Cumulative sums, products, minima and maxima for each row (column) in a matrix
colCumsums | Cumulative sums, products, minima and maxima for each row (column) in a matrix
colCumsums-method | Cumulative sums, products, minima and maxima for each row (column) in a matrix
colDiffs | Calculates difference for each row (column) in a matrix
colDiffs-method | Calculates difference for each row (column) in a matrix
colIQRDiffs | Estimation of scale based on sequential-order differences
colIQRDiffs-method | Estimation of scale based on sequential-order differences
colIQRs | Estimates of the interquartile range for each row (column) in a matrix
colIQRs-method | Estimates of the interquartile range for each row (column) in a matrix
colLogSumExps | Accurately computes the logarithm of the sum of exponentials across rows or columns
colLogSumExps-method | Accurately computes the logarithm of the sum of exponentials across rows or columns
colMadDiffs | Estimation of scale based on sequential-order differences
colMadDiffs-method | Estimation of scale based on sequential-order differences
colMads | Standard deviation estimates for each row (column) in a matrix
colMads-method | Standard deviation estimates for each row (column) in a matrix
colMeans2 | Calculates the mean for each row (column) in a matrix
colMeans2-method | Calculates the mean for each row (column) in a matrix
colMedians | Calculates the median for each row (column) in a matrix
colMedians-method | Calculates the median for each row (column) in a matrix
colOrderStats | Gets an order statistic for each row (column) in a matrix
colOrderStats-method | Gets an order statistic for each row (column) in a matrix
colProds | Calculates the product for each row (column) in a matrix
colProds-method | Calculates the product for each row (column) in a matrix
colQuantiles | Estimates quantiles for each row (column) in a matrix
colQuantiles-method | Estimates quantiles for each row (column) in a matrix
colRanks | Gets the rank of each row (column) of a matrix
colRanks-method | Gets the rank of each row (column) of a matrix
colSdDiffs | Estimation of scale based on sequential-order differences
colSdDiffs-method | Estimation of scale based on sequential-order differences
colSds | Standard deviation estimates for each row (column) in a matrix
colSds-method | Standard deviation estimates for each row (column) in a matrix
colSums2 | Calculates the sum for each row (column) in a matrix
colSums2-method | Calculates the sum for each row (column) in a matrix
colTabulates | Tabulates the values in a matrix by row (column)
colTabulates-method | Tabulates the values in a matrix by row (column)
colVarDiffs | Estimation of scale based on sequential-order differences
colVarDiffs-method | Estimation of scale based on sequential-order differences
colVars | Variance estimates for each row (column) in a matrix
colVars-method | Variance estimates for each row (column) in a matrix
colWeightedMads | Weighted Median Absolute Deviation (MAD)
colWeightedMads-method | Weighted Median Absolute Deviation (MAD)
colWeightedMeans | Calculates the weighted means for each row (column) in a matrix
colWeightedMeans-method | Calculates the weighted means for each row (column) in a matrix
colWeightedMedians | Calculates the weighted medians for each row (column) in a matrix
colWeightedMedians-method | Calculates the weighted medians for each row (column) in a matrix

## -- D --

DelayedMatrixStats | DelayedMatrixStats: Functions that apply to rows and columns of _DelayedMatrix_ objects.

## -- R --

rowAlls | Checks if a value exists / does not exist in each row (column) of a matrix
rowAlls-method | Checks if a value exists / does not exist in each row (column) of a matrix
rowAnyMissings | Checks if there are any missing values in an object or not
rowAnyMissings-method | Checks if there are any missing values in an object or not
rowAnyNAs | Checks if there are any missing values in an object or not
rowAnyNAs-method | Checks if there are any missing values in an object or not
rowAnys | Checks if a value exists / does not exist in each row (column) of a matrix
rowAnys-method | Checks if a value exists / does not exist in each row (column) of a matrix
rowAvgsPerColSet | Applies a row-by-row (column-by-column) averaging function to equally-sized subsets of matrix columns (rows)
rowAvgsPerColSet-method | Applies a row-by-row (column-by-column) averaging function to equally-sized subsets of matrix columns (rows)
rowCollapse | Extracts one cell per row (column) from a matrix
rowCollapse-method | Extracts one cell per row (column) from a matrix
rowCounts | Counts the number of occurrences of a specific value
rowCounts-method | Counts the number of occurrences of a specific value
rowCummaxs | Cumulative sums, products, minima and maxima for each row (column) in a matrix
rowCummaxs-method | Cumulative sums, products, minima and maxima for each row (column) in a matrix
rowCummins | Cumulative sums, products, minima and maxima for each row (column) in a matrix
rowCummins-method | Cumulative sums, products, minima and maxima for each row (column) in a matrix
rowCumprods | Cumulative sums, products, minima and maxima for each row (column) in a matrix
rowCumprods-method | Cumulative sums, products, minima and maxima for each row (column) in a matrix
rowCumsums | Cumulative sums, products, minima and maxima for each row (column) in a matrix
rowCumsums-method | Cumulative sums, products, minima and maxima for each row (column) in a matrix
rowDiffs | Calculates difference for each row (column) in a matrix
rowDiffs-method | Calculates difference for each row (column) in a matrix
rowIQRDiffs | Estimation of scale based on sequential-order differences
rowIQRDiffs-method | Estimation of scale based on sequential-order differences
rowIQRs | Estimates of the interquartile range for each row (column) in a matrix
rowIQRs-method | Estimates of the interquartile range for each row (column) in a matrix
rowLogSumExps | Accurately computes the logarithm of the sum of exponentials across rows or columns
rowLogSumExps-method | Accurately computes the logarithm of the sum of exponentials across rows or columns
rowMadDiffs | Estimation of scale based on sequential-order differences
rowMadDiffs-method | Estimation of scale based on sequential-order differences
rowMads | Standard deviation estimates for each row (column) in a matrix
rowMads-method | Standard deviation estimates for each row (column) in a matrix
rowMeans2 | Calculates the mean for each row (column) in a matrix
rowMeans2-method | Calculates the mean for each row (column) in a matrix
rowMedians | Calculates the median for each row (column) in a matrix
rowMedians-method | Calculates the median for each row (column) in a matrix
rowOrderStats | Gets an order statistic for each row (column) in a matrix
rowOrderStats-method | Gets an order statistic for each row (column) in a matrix
rowProds | Calculates the product for each row (column) in a matrix
rowProds-method | Calculates the product for each row (column) in a matrix
rowQuantiles | Estimates quantiles for each row (column) in a matrix
rowQuantiles-method | Estimates quantiles for each row (column) in a matrix
rowRanks | Gets the rank of each row (column) of a matrix
rowRanks-method | Gets the rank of each row (column) of a matrix
rowSdDiffs | Estimation of scale based on sequential-order differences
rowSdDiffs-method | Estimation of scale based on sequential-order differences
rowSds | Standard deviation estimates for each row (column) in a matrix
rowSds-method | Standard deviation estimates for each row (column) in a matrix
rowSums2 | Calculates the sum for each row (column) in a matrix
rowSums2-method | Calculates the sum for each row (column) in a matrix
rowTabulates | Tabulates the values in a matrix by row (column)
rowTabulates-method | Tabulates the values in a matrix by row (column)
rowVarDiffs | Estimation of scale based on sequential-order differences
rowVarDiffs-method | Estimation of scale based on sequential-order differences
rowVars | Variance estimates for each row (column) in a matrix
rowVars-method | Variance estimates for each row (column) in a matrix
rowWeightedMads | Weighted Median Absolute Deviation (MAD)
rowWeightedMads-method | Weighted Median Absolute Deviation (MAD)
rowWeightedMeans | Calculates the weighted means for each row (column) in a matrix
rowWeightedMeans-method | Calculates the weighted means for each row (column) in a matrix
rowWeightedMedians | Calculates the weighted medians for each row (column) in a matrix
rowWeightedMedians-method | Calculates the weighted medians for each row (column) in a matrix