rowOrderStats
(Package: matrixStats) :
Gets an order statistic for each row (column) in a matrix
Gets an order statistic for each row (column) in a matrix.
● Data Source:
CranContrib
● Keywords: array, iteration, robust, univar
● Alias: rowOrderStats
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rowWeightedMedians
(Package: matrixStats) :
Calculates the weighted medians for each row (column) in a matrix
Calculates the weighted medians for each row (column) in a matrix.
● Data Source:
CranContrib
● Keywords: array, iteration, robust, univar
● Alias: rowWeightedMedians
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Computes a weighted median of a numeric vector.
● Data Source:
CranContrib
● Keywords: robust, univar
● Alias: weightedMedian
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rowCollapse
(Package: matrixStats) :
Extracts one cell per row (column) from a matrix
Extracts one cell per row (column) from a matrix. The implementation is optimized for memory and speed.
● Data Source:
CranContrib
● Keywords: utilities
● Alias: rowCollapse
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xUNDERSCOREOPUNDERSCOREy
(Package: matrixStats) :
Fast calculation of 'z <- x OP y' and 'z <- t(t(x) OP y)'
Fast calculation of 'z <- x OP y' and 'z <- t(t(x) OP y)', where OP can be +, -, *, and /. For + and *, na.rm=TRUE will drop missing values first.
● Data Source:
CranContrib
● Keywords: internal
● Alias: xUNDERSCOREOPUNDERSCOREy
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binCounts
(Package: matrixStats) :
Fast element counting in non-overlapping bins
Counts the number of elements in non-overlapping bins
● Data Source:
CranContrib
● Keywords: univar
● Alias: binCounts
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rowProds
(Package: matrixStats) :
Calculates the product for each row (column) in a matrix
Calculates the product for each row (column) in a matrix.
● Data Source:
CranContrib
● Keywords: array, iteration, robust, univar
● Alias: rowProds
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binMeans
(Package: matrixStats) :
Fast mean calculations in non-overlapping bins
Computes the sample means in non-overlapping bins
● Data Source:
CranContrib
● Keywords: univar
● Alias: binMeans
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anyMissing
(Package: matrixStats) :
Checks if there are any missing values in an object or not
Checks if there are any missing values in an object or not.
● Data Source:
CranContrib
● Keywords: iteration, logic
● Alias: anyMissing
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logSumExp
(Package: matrixStats) :
Accurately computes the logarithm of the sum of exponentials
Accurately computes the logarithm of the sum of exponentials, that is, log(sum(exp(lx))). If lx = log(x), then this is equivalently to calculating log(sum(x)).
● Data Source:
CranContrib
● Keywords:
● Alias: logSumExp
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