stdmean2.from.t: Computes Cohen's d from pooled-variance t statistic

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Computes Cohen's d from pooled-variance t statistic

Description

This function computes Cohen's d for a 2-group design (which is a standardized mean difference with a weighted variance standardizer) using a pooled-variance independent-samples t statistic and the two sample sizes. This function also computes the standard error for Cohen's d. The Cohen's d estimate and standard error assume equality of population variances.

Usage

stdmean2.from.t(t, n1, n2)

Arguments

t	pooled-variance t statistic
n1	sample size for group 1
n2	sample size for group 2

Value

Returns Cohen's d and its equal-variance standard error

Examples

stdmean2.from.t(3.27, 25, 25)

# Should return:
#             Estimate       SE
# Cohen's d  0.9439677 0.298801

dgbonett/vcmeta documentation built on July 12, 2024, 3:12 p.m.