gen_esize_m_ci: Bootstrapped Confidence Intervals for Effective Size

In tmnaylor/r4lineups: Statistical Inference on Lineup Fairness

Description

Function for computing Effective Size (Malpass, 1981, as adjusted by Tredoux, 1998) with CIs from bootstrap df of lineups

Usage

gen_esize_m_ci(lineupsizes, perc = 0.05)

Arguments

lineupsizes	A vector of bootstrapped effective sizes
perc	Defaults to .05. Can be specified by user, according to desired level of alpha (scalar)

Value

Confidence intervals for effective size

Examples

#Data:
lineup_vec <- round(runif(100, 1, 6))
k <- 6

#Use gen_boot_samples to get bootstrapped data:
bootdata <- gen_boot_samples(lineup_vec, 1000)

#Compute effective size over df of bootstrapped data:
lineupsizes <- gen_esize_m(bootdata, 6)

#Call:
gen_esize_m_ci(lineupsizes)
gen_esize_m_ci(lineupsizes, perc = .025)
gen_esize_m_ci(lineupsizes, perc = .975)

tmnaylor/r4lineups documentation built on May 10, 2019, 8:30 a.m.