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