nullabor (version 0.3.5)

bin_dist: 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

Run this code
# NOT RUN {
with(mtcars, bin_dist(data.frame(wt, mpg), data.frame(sample(wt), mpg),
lineup.dat = NULL))
# }

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