| maxScoreSplit {AssocBin} | R Documentation |
Size-restricted bivariate score maximizing splitting
Description
Splits a bin based on the location maximizing a score function with restrictions on minimum bin size.
Usage
maxScoreSplit(bin, scorer, minExp = 5, squarify = FALSE)
Arguments
bin |
a bin to be split with elements 'x', 'y', 'depth', 'bnds' (list with elements 'x' and 'y'), 'expn', 'n' |
scorer |
function which accepts a numeric vector of potential split coordinates and the bounds of 'bin' and returns a numeric vector of scores for each |
minExp |
value giving the smallest expected count allowed for bin splits |
squarify |
logical value, should we force splitting on the longer side regardless of scores? |
Details
This function serves as a wrapper which manages the logic of splitting bins using a score function while maintaining a minimum size and allowing forced splits along the wider edge.
Value
A list of two bins resulting from the split of 'bin' along the corresponding margin at the maximum location
Author(s)
Chris Salahub
Examples
bin <- makeBin(x = 1:10, y = sample(1:10))
maxScoreSplit(bin, chiScores)
maxScoreSplit(bin, miScores) # pretty similar for both
maxScoreSplit(bin, randScores)
maxScoreSplit(bin, randScores) # different every time