Cohen's d for paired (dependent) and unpaired (independent) samples

Cohen's d for paired (dependent) and unpaired (independent) samples

cohens_d(group_a, group_b, paired = FALSE, na.rm = FALSE)

Arguments

group_a	Numeric vector. This group represents baseline/control, observed variable, Pre-test in the paired design, or "practical" measure
group_b	Numeric vector. This group represents experimental, predicted variable, Post-test in the paired design, or "criterion" measure
paired	Paired groups? Default is FALSE
na.rm	Should missing values be removed? Default is FALSE. With paired=TRUE, NA removal is NOT pairwise and involves NA removal from the difference score and group_a

Value

Cohen's d

Examples

cohens_d(rnorm(100), rnorm(100))
#> [1] -0.1709544