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Computes Cohen's d from pooled-variance t statistic

Source: R/meta_misc.R
stdmean2.from.t.Rd

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)
#>             Estimate     SE
#> Cohen's d:     0.925 0.2982

# Should return:
#           Estimate     SE
# Cohen's d    0.925 0.2982