datacohen_CI: Function to compute CI around Cohen's effect size estimators

In mdelacre/deffectsize: Point effect size estimates and confidence intervals

Function to compute CI around Cohen's effect size estimators

Description

Function to compute CI around Cohen's effect size estimators

Usage

datacohen_CI(
  Group.1,
  Group.2,
  conf.level,
  var.equal,
  unbiased,
  alternative,
  na.rm
)

Arguments

Group.1	a (non-empty) numeric vector of data values.
Group.2	a (non-empty) numeric vector of data values.
conf.level	confidence level of the interval
var.equal	a logical variable indicating whether to assume equality of population variances. If TRUE the pooled variance is used to estimate the standard error (= Cohen's d or Hedges' g). Otherwise, the square root of the non pooled average of both variance estimates is used to estimate the standard error (Cohen's d' or Hedges' g').
unbiased	a logical variable indicating whether to compute the biased or unbiased estimator. If TRUE, unbiased estimator is computed (Hedges' g or Hedges' g'). Otherwise, bias estimator is computed (Cohen's d or Cohen's d').
alternative	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".
na.rm	set whether Missing Values should be excluded (na.rm = TRUE) or not (na.rm = FALSE) - defaults to TRUE.

Value

Returns Cohen's estimators of effect size and (1-alpha)% confidence interval around it, standard error

mdelacre/deffectsize documentation built on June 15, 2022, 11:47 p.m.