opt_bin_diff | R Documentation |
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 )
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 |
a dataframe with the number of bins and differences the maximum mean distance of the null plots
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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