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For inspection, custom interpolation, or reproducibility. In the paper this is the prevalence-conditioned threshold table.

Usage

grass_reference_table(reference_level = NULL)

Arguments

reference_level

Optional numeric band (0.70, 0.80, 0.85, or 0.90). If supplied, only that band is returned. Default NULL returns all four bands in long form.

Value

A long-form data.frame with columns prevalence, reference_level, metric, reference, and J.

Examples

head(grass_reference_table())
#>   prevalence reference_level metric reference   J
#> 1       0.01             0.7    AC1 0.2718851 0.4
#> 2       0.05             0.7    AC1 0.2563739 0.4
#> 3       0.10             0.7    AC1 0.2380261 0.4
#> 4       0.15             0.7    AC1 0.2210682 0.4
#> 5       0.20             0.7    AC1 0.2057489 0.4
#> 6       0.25             0.7    AC1 0.1923077 0.4
head(grass_reference_table(reference_level = 0.85))
#>     prevalence reference_level metric reference   J
#> 127       0.01            0.85    AC1 0.6532018 0.7
#> 128       0.05            0.85    AC1 0.6349059 0.7
#> 129       0.10            0.85    AC1 0.6117540 0.7
#> 130       0.15            0.85    AC1 0.5887428 0.7
#> 131       0.20            0.85    AC1 0.5664740 0.7
#> 132       0.25            0.85    AC1 0.5456570 0.7