Cohen's d: the standardized difference of means of two samples (pooled or averaged standard deviation), of paired
samples, or of one sample against mu, with a confidence interval from the noncentral t distribution.
Equivalent to effectsize::cohens_d() in R.
As effectsize, warnings has "'y' is numeric but has only 2 unique values. ..." where y has exactly 2 distinct
values (a grouping variable is given as two samples here) and "Missing values detected. NAs dropped." for NaN.
Cohen's d: the standardized difference of means of two samples (pooled or averaged standard deviation), of paired samples, or of one sample against
mu, with a confidence interval from the noncentral t distribution. Equivalent toeffectsize::cohens_d()in R.As effectsize,
warningshas "'y' is numeric but has only 2 unique values. ..." whereyhas exactly 2 distinct values (a grouping variable is given as two samples here) and "Missing values detected. NAs dropped." forNaN.