opt_bin_diff: Finds the number of bins in x and y direction which gives the...

In nullabor: Tools for Graphical Inference

Description

This function finds the optimal number of bins in both x and y direction which should be used to calculate the binned distance. The binned distance is calculated for each combination of provided choices of number of bins in x and y direction and finds the difference using calc_diff for each combination. The combination for which the difference is maximum should be used.

Usage

opt_bin_diff(
  lineup.dat,
  var,
  xlow,
  xhigh,
  ylow,
  yhigh,
  pos,
  plot = FALSE,
  m = 20
)

Arguments

lineup.dat	lineup data to get the lineup
var	a list of names of the variables to be used to calculate the difference
xlow	the lowest value of number of bins on the x-direction
xhigh	the highest value of number of bins on the x-direction
ylow	the lowest value of number of bins on the y-direction
yhigh	the highest value of number of bins on the y-direction
pos	position of the true plot in the lineup
plot	LOGICAL; if true, returns a tile plot for the combinations of number of bins with the differences as weights
m	number of plots in the lineup, by default m = 20

Value

a dataframe with the number of bins and differences the maximum mean distance of the null plots

Examples

if(require('dplyr')){
opt_bin_diff(lineup(null_permute('mpg'), mtcars, pos = 1), var = c('mpg', 'wt'),
2, 5, 4, 8, pos = 1, plot = TRUE, m = 8)
}

nullabor documentation built on Feb. 26, 2020, 1:07 a.m.