Hierarchical
hdistribution
Splits up a given total top-down in a hierarchy, distributing each parent's value between its children relative to the children's input weights.
hget
maps the argument to a lower hierarchy level.
hmax
Calculates the maximum of all values defined for the children of a tree node.
hmean
Calculates the geometric mean of all values defined for the children of a tree node.
hmin
Calculates the minimum of all values defined for the children of a tree node.
hnorm
Normalizes the numbers belonging to one group in a container to a given total.
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x: detects empty rows or columns in a matrix or tensor.|is the matrix or tensor to be checked|is the row dimension index or tree|is the column dimension index or tree
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total: Normalizes the numbers in a container to a total of 1.0.|is the container which contains the values you want to normalize.|is the level of details to operate on|specifies the dimension for the operation if the source is a multi-dimensional collection
hpercentage
Normalizes the numbers of a container belonging to one group to 100%.
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x: detects empty rows or columns in a matrix or tensor.|is the matrix or tensor to be checked|is the row dimension index or tree|is the column dimension index or tree
hprod
Calculates the product of all values defined for the children of a tree node.
hproduct
Multiplies the cells of a matrix with the (hidden) group level cells.
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matrix: A matrix defined on at least one tree with a depth > 1
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tree: one of the two matrix trees whose hierarchy is used for the accumulation
hsum
Sums up the values of the given argument hierarchically.
numchildren
Calculates the number of children for each node in a tree.
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