Theoretical distribution for lineups under different scenarios

Source: R/pvalues-deprecated.r

[Deprecated]

pV(x, K, m, scenario, type = "numeric")

Arguments

x

vector of the number of picks of the data plot out of K evaluations

K

number of evaluations

m

size of the lineup

scenario

which scenario should be used? 1, 2, or 3?

type

one of "mpfr" or "numeric". Should the result be in arbitrary numeric length or be a numeric? Internally the Rmpfr package is used to get maximal precision.

Examples

pV(0:5, 5, m=3, scenario=3)
#> Warning: `pV()` was deprecated in vinference 1.0.0.
#> ℹ Please use `pVis()` instead.
#>          0          1          2          3          4          5 
#> 1.00000000 0.77178555 0.50523654 0.26388889 0.10185185 0.02390384