dicho.meanse.z: means and se from dichotomizing/extreme group design to z

In phoebehlam/michaela: convert statistical metrics for meta-analytic purpose

means and se from dichotomizing/extreme group design to z

Description

means and se from dichotomizing/extreme group design to fisher's z
see pustejovsky, 2014. psychological methods.
returns extreme group r (referred to as r (subscript eg) in pustejovsky paper)
for taylor series approximation, defaults 5th term (use dicho.d.z() if you'd like to adjust to lower term)

Usage

dicho.meanse.z(m1, m2, se1, se2, n1, n2, p1, p2)

Arguments

m1	mean of group 1
m2	mean of group 2
se1	standard error of group 1
se2	standard error of group 2
n1	cell size of group 1
n2	cell size of group 2
p1	cutoff percentile for group 1 (sample-based, please see other formulas for population-based in pustejovsky, 2014)
p2	cutoff percentile for group 2 (sample-based, please see other formulas for population-based in pustejovsky, 2014)

Examples

dicho.meanse.z(1.1, 0.5, 0.6, 0.2, 10, 18, .25, .25)

phoebehlam/michaela documentation built on Oct. 23, 2024, 4:10 p.m.