qV: Theoretical quantile for lineups under different scenarios

In heike/vinference: Inference under the lineup protocol

Description

\lifecycle

deprecated

Usage

qV(q, K, m, scenario, type = "numeric")

Arguments

q	(vector) of the quantiles for 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

## get critical values of visual triangle test:
qV(q=c(0.95, 0.99), K=c(5,10,15,20, 25, 30), m=3, scenario=1:3)

## get critical values of full lineup test:
qV(q=c(0.95, 0.99), K=c(5,10,15,20, 25, 30), m=20, scenario=3)

heike/vinference documentation built on Oct. 17, 2020, 7:08 a.m.