Distance metric is used to calculate the mean distance between the true plot and all the null plots in a lineup. The mean distances of each null plot to all the other null plots are calculated. The mean distances are returned for all the plots in the lineup.
calc_mean_dist(lineup.dat, var, met, pos, dist.arg = NULL, m = 20)
lineup data of the lineup
a vector of names of the variables to be used to calculate the mean distances
distance metric needed to calculate the distance as a character
position of the true plot in the lineup
a list or vector of inputs for the distance metric met; NULL by default
number of plots in the lineup, by default m = 20
the mean distances of each plot in the lineup
if(require('dplyr')){
calc_mean_dist(lineup(null_permute('mpg'), mtcars, pos = 1), var = c('mpg', 'wt'),
met = 'reg_dist', pos = 1, m = 10)}
#> # A tibble: 10 × 2
#> plotno mean.dist
#> <int> <dbl>
#> 1 1 0.812
#> 2 2 0.0653
#> 3 3 0.0315
#> 4 4 0.0506
#> 5 5 0.0499
#> 6 6 0.0245
#> 7 7 0.0306
#> 8 8 0.0425
#> 9 9 0.0226
#> 10 10 0.0629