Description Usage Arguments Value Examples

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.

1 2 3 4 5 6 7 8 9 10 11 | ```
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

1 2 3 4 | ```
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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