R: Summary Statistics for Rows and Columns of Sparse Matrices

# Summary Statistics for Rows and Columns of Sparse Matrices

## Documentation for package ‘sparseMatrixStats’ version 1.22.0

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

## Help Pages

colAlls-method | Check if all elements in a row (column) of a matrix-like object are equal to a value
colAnyNAs-method | Check if any elements in a row (column) of a matrix-like object is missing
colAnys-method | Check if any elements in a row (column) of a matrix-like object is equal to a value
colAvgsPerRowSet | Calculates for each row (column) a summary statistic for equally sized subsets of columns (rows)
colAvgsPerRowSet-method | Calculates for each row (column) a summary statistic for equally sized subsets of columns (rows)
colCollapse-method | Extract one cell from each row (column) of a matrix-like object
colCounts-method | Count how often an element in a row (column) of a matrix-like object is equal to a value
colCummaxs-method | Calculates the cumulative maxima for each row (column) of a matrix-like object
colCummins-method | Calculates the cumulative minima for each row (column) of a matrix-like object
colCumprods-method | Calculates the cumulative product for each row (column) of a matrix-like object
colCumsums-method | Calculates the cumulative sum for each row (column) of a matrix-like object
colDiffs-method | Calculates the difference between each element of a row (column) of a matrix-like object
colIQRDiffs-method | Calculates the interquartile range of the difference between each element of a row (column) of a matrix-like object
colIQRs-method | Calculates the interquartile range for each row (column) of a matrix-like object
colLogSumExps-method | Accurately calculates the logarithm of the sum of exponentials for each row (column) of a matrix-like object
colMadDiffs-method | Calculates the mean absolute deviation of the difference between each element of a row (column) of a matrix-like object
colMads-method | Calculates the median absolute deviation for each row (column) of a matrix-like object
colMaxs-method | Calculates the maximum for each row (column) of a matrix-like object
colMeans2-method | Calculates the mean for each row (column) of a matrix-like object
colMedians-method | Calculates the median for each row (column) of a matrix-like object
colMins-method | Calculates the minimum for each row (column) of a matrix-like object
colOrderStats-method | Calculates an order statistic for each row (column) of a matrix-like object
colProds-method | Calculates the product for each row (column) in a matrix
colQuantiles-method | Calculates quantiles for each row (column) of a matrix-like object
colRanges-method | Calculates the minimum and maximum for each row (column) of a matrix-like object
colRanks-method | Calculates the rank of the elements for each row (column) of a matrix-like object
colSdDiffs-method | Calculates the standard deviation of the difference between each element of a row (column) of a matrix-like object
colSds-method | Calculates the standard deviation for each row (column) of a matrix-like object
colSums2-method | Calculates the sum for each row (column) of a matrix-like object
colTabulates-method | Tabulates the values in a matrix-like object by row (column)
colVarDiffs-method | Calculates the variance of the difference between each element of a row (column) of a matrix-like object
colVars-method | Calculates the variance for each row (column) of a matrix-like object
colWeightedMads-method | Calculates the weighted median absolute deviation for each row (column) of a matrix-like object
colWeightedMeans-method | Calculates the weighted mean for each row (column) of a matrix-like object
colWeightedMedians-method | Calculates the weighted median for each row (column) of a matrix-like object
colWeightedSds-method | Calculates the weighted standard deviation for each row (column) of a matrix-like object
colWeightedVars-method | Calculates the weighted variance for each row (column) of a matrix-like object
rowAlls-method | Check if all elements in a row (column) of a matrix-like object are equal to a value
rowAnyNAs-method | Check if any elements in a row (column) of a matrix-like object is missing
rowAnys-method | Check if any elements in a row (column) of a matrix-like object is equal to a value
rowAvgsPerColSet-method | Calculates for each row (column) a summary statistic for equally sized subsets of columns (rows)
rowCollapse-method | Extract one cell from each row (column) of a matrix-like object
rowCounts-method | Count how often an element in a row (column) of a matrix-like object is equal to a value
rowCummaxs-method | Calculates the cumulative maxima for each row (column) of a matrix-like object
rowCummins-method | Calculates the cumulative minima for each row (column) of a matrix-like object
rowCumprods-method | Calculates the cumulative product for each row (column) of a matrix-like object
rowCumsums-method | Calculates the cumulative sum for each row (column) of a matrix-like object
rowDiffs-method | Calculates the difference between each element of a row (column) of a matrix-like object
rowIQRDiffs-method | Calculates the interquartile range of the difference between each element of a row (column) of a matrix-like object
rowIQRs-method | Calculates the interquartile range for each row (column) of a matrix-like object
rowLogSumExps-method | Accurately calculates the logarithm of the sum of exponentials for each row (column) of a matrix-like object
rowMadDiffs-method | Calculates the mean absolute deviation of the difference between each element of a row (column) of a matrix-like object
rowMads-method | Calculates the median absolute deviation for each row (column) of a matrix-like object
rowMaxs-method | Calculates the maximum for each row (column) of a matrix-like object
rowMeans2-method | Calculates the mean for each row (column) of a matrix-like object
rowMedians-method | Calculates the median for each row (column) of a matrix-like object
rowMins-method | Calculates the minimum for each row (column) of a matrix-like object
rowOrderStats-method | Calculates an order statistic for each row (column) of a matrix-like object
rowProds-method | Calculates the product for each row (column) in a matrix
rowQuantiles-method | Calculates quantiles for each row (column) of a matrix-like object
rowRanges-method | Calculates the minimum and maximum for each row (column) of a matrix-like object
rowRanks-method | Calculates the rank of the elements for each row (column) of a matrix-like object
rowSdDiffs-method | Calculates the standard deviation of the difference between each element of a row (column) of a matrix-like object
rowSds-method | Calculates the standard deviation for each row (column) of a matrix-like object
rowSums2-method | Calculates the sum for each row (column) of a matrix-like object
rowTabulates-method | Tabulates the values in a matrix-like object by row (column)
rowVarDiffs-method | Calculates the variance of the difference between each element of a row (column) of a matrix-like object
rowVars-method | Calculates the variance for each row (column) of a matrix-like object
rowWeightedMads-method | Calculates the weighted median absolute deviation for each row (column) of a matrix-like object
rowWeightedMeans-method | Calculates the weighted mean for each row (column) of a matrix-like object
rowWeightedMedians-method | Calculates the weighted median for each row (column) of a matrix-like object
rowWeightedSds-method | Calculates the weighted standard deviation for each row (column) of a matrix-like object
rowWeightedVars-method | Calculates the weighted variance for each row (column) of a matrix-like object
xgCMatrix-class | Union of double and logical column-sparse matrices