calc_diff: Calculating the difference between true plot and the null...
In nullabor: Tools for Graphical Inference

Description Usage Arguments Value Examples

Distance metric is used to calculate the mean distance between the true plot and all the null plots in a lineup. The difference between the mean distance of the true plot and the maximum mean distance of the null plots is calculated.

1	calc_diff(lineup.dat, var, met, pos, dist.arg = NULL, m = 20)

`lineup.dat`	lineup data to get the lineup
`var`	a vector of names of the variables to be used to calculate the difference
`met`	distance metric needed to calculate the distance as a character
`pos`	position of the true plot in the lineup
`dist.arg`	a list or vector of inputs for the distance metric met; NULL by default
`m`	number of plots in the lineup, by default m = 20

difference between the mean distance of the true plot and the maximum mean distance of the null plots

if(require('dplyr')){
lineup.dat <- lineup(null_permute('mpg'), mtcars, pos = 1)
calc_diff(lineup.dat, var = c('mpg', 'wt'), met = 'bin_dist',
dist.arg = list(lineup.dat = lineup.dat, X.bin = 5, Y.bin = 5), pos = 1, m = 8)}

if(require('dplyr')){
calc_diff(lineup(null_permute('mpg'), mtcars, pos = 1), var = c('mpg', 'wt'), met = 'reg_dist',
dist.arg = NULL, pos = 1, m = 8)}