bin_dist: Binned Distance

In nullabor: Tools for Graphical Inference

Binned Distance

Description

Data X is binned into X.bin bins in x-direction and Y.bins in y-direction. The number of points in each cell is then counted. Same is done for data PX. An euclidean distance is calculated between the number of points in each cell between X and PX.

Usage

bin_dist(X, PX, lineup.dat = lineup.dat, X.bin = 5, Y.bin = 5)

Arguments

X	a data.frame with two variables, the first two columns are used
PX	another data.frame with two variables, the first two columns are used
lineup.dat	lineup data so that the binning is done based on the lineup data and not the individual plots, by default lineup.dat = lineup.dat ; if one wishes to calculate the binned distance between two plots, one should use lineup.dat = NULL
X.bin	number of bins on the x-direction, by default X.bin = 5
Y.bin	number of bins on the y-direction, by default Y.bin = 5

Value

distance between X and PX

Examples

with(mtcars, bin_dist(data.frame(wt, mpg), data.frame(sample(wt), mpg),
lineup.dat = NULL))

nullabor documentation built on April 4, 2025, 4:14 a.m.