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 |

`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

1 2 3 4 5 6 7 8 | ```
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)}
``` |

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