addPoint: Add a Point to an Existing Configuration
In rwoldford/treebinr: Data Reduction via Tree-based Binning

Description Usage Arguments Value Examples

addPoint adds a point to an existing binned configuration by first finding the bin to which it belongs, and updating the target bin

1	addPoint(point, treebinr_obj, binMeasure, makePoint, inputs)

`point`	A vector containing the point to be added to the binned configuration
`treebinr_obj`	An object of class treebinr
`binMeasure`	A user supplied function to compute the measure associated with each bin
`makePoint`	A user supplied function to turn the contents of a bin into a single point
`inputs`	A list containing additional input parameters required by user supplied functions. Default is NULL.

The return value is an object of class treebinr, which contains the following

`points`	A matrix containing the reduced point configuration
`counts`	A vector containing the number of points in each bin
`bins`	A list containing bin objects, which detail the contents of each bin
`tree`	An undirected graph object for the binning tree

#Bin a Normal Configuration to 500 Points
set.seed(1337)
X <- matrix(rnorm(2000),ncol=2)

numbins <- 500
nCols <- ncol(X)
binMeasure <- gapMeasure
selectBin <- gapSelect
splitBin <- gapSplit
boundaryTest <- gapBoundaryTest
makePoint <- gapPoints

inputs <- list(dimRange = sapply(1:nCols, FUN = function(j) {range(X[,j])}), tau=1)
binInfo <- list(binRange = sapply(1:nCols, FUN = function(j) {range(X[,j])}))

treebinr_obj <- treebin(X, numbins, binMeasure, boundaryTest, selectBin, splitBin, makePoint, binInfo, inputs)

#Add a Point at (-3,3)
point <- c(-3,3)
out2 <- addPoint(point, treebinr_obj, binMeasure, makePoint, inputs)