calc_diff {nullabor}

Calculating the difference between true plot and the null plot with the maximum distance.

Description

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.

Usage

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

Arguments

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

Value

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

Examples

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)}