cohend: Compute Cohen's d

In wzhorton/bayesFDA: Bayesian Functional Data Analysis Tools

Description

Calculates Cohen's d, a measure of effect size as well as confidence interval bounds.

Usage

cohend(diff, ns, sds, conf = 0.95)

Arguments

diff	Numeric difference value
ns	Numeric vector containing the sample sizes of the two groups
sds	Numeris vector containing the sample standard deviations of the two groups (at the point of interest if taken on functional data).
conf	Numeric value giving the desired confidence level.

Details

Arguments are given in vector form so as to be more amenable to the structure of the package output. Confidence interval calculation comes from Hedge and Olkin (2014).

Value

A vector of length 3 containing the lower bound, the effect size, and the upper bound in that order.

wzhorton/bayesFDA documentation built on Dec. 23, 2021, 6:15 p.m.