Maps numeric items in x into groups with sum less or
equal than capacity. A very simple greedy algorithm
is used, which is not really optimized for speed. This is a
convenience function for smaller vectors, not a competetive
solver for the real binbacking problem. If an element of
x exceeds capacity, an error is thrown.
Usage
binPack(x, capacity)
Arguments
x
[numeric]
Numeric vector of elements
to group.
capacity
[numeric(1)]
Maximum capacity
of each bin, i.e., elements will be grouped so their sum
does not exceed this limit.
Value
[integer]. Integer with values 1 to
n.bins indicating bin membership.