calcCliffdConfidenceIntervals: calcCliffdConfidenceIntervals

In reproducer: Reproduce Statistical Analyses and Meta-Analyses

calcCliffdConfidenceIntervals

Description

This functions is a helper function. It assesses the significance one-sided and two-sided statistical of Cliff's d based on its confidence interval. The type of test is determined by the parameter One.Sided.Tests, the direction of one-sided tests is determined by the parameter Positive.MD.

Usage

calcCliffdConfidenceIntervals(
  d.value,
  d.variance,
  d.df,
  alpha = 0.05,
  alternative = "two.sided"
)

Arguments

d.value	This is the value of Cliff's d.
d.variance	This is the estimated variance of Cliff's d
d.df	The degrees of freedom.
alpha	This is the alpha level required for the statistical tests (default 0.05)
alternative	This defines whether a one-sided test or a two-sided (default) test is required. For a one-sided test use parameter values greater' or 'less' to define whether the d-value should be greater or less than zero.

Value

The function returns a Boolean variable identifying whether the effect size is significant and the confidence interval bounds.

Author(s)

Barbara Kitchenham and Lech Madeyski

Examples

reproducer:::calcCliffdConfidenceIntervals(d.value=0.5, d.variance=0.04,d.df=18)
# A tibble: 1 x 5
#  d.tvalue d.pvalue d.ci.lower d.ci.upper d.sig
#     <dbl>    <dbl>      <dbl>      <dbl> <lgl>
#1      2.5   0.0223     0.0479      0.782 TRUE

reproducer:::calcCliffdConfidenceIntervals(
  d.value=0.5,d.variance=0.04,d.df=18,alternative='greater')
# A tibble: 1 x 5
#  d.tvalue d.pvalue d.ci.lower d.ci.upper d.sig
#   <dbl>    <dbl>      <dbl>      <dbl> <lgl>
#1    2.5   0.0112      0.123          1 TRUE

reproducer:::calcCliffdConfidenceIntervals(
  d.value=0.2,d.variance=0.04,d.df=18,alternative='greater')
# A tibble: 1 x 3
#  d.tvalue d.pvalue d.ci.lower d.ci.upper d.sig
#     <dbl>    <dbl>      <dbl>      <dbl> <lgl>
#1        1    0.165     -0.133          1 FALSE

reproducer:::calcCliffdConfidenceIntervals(
  d.value=-0.5,d.variance=0.04,d.df=18,alternative='less')
# A tibble: 1 x 5
#  d.tvalue d.pvalue d.ci.lower d.ci.upper d.sig
#   <dbl>    <dbl>      <dbl>      <dbl> <lgl>
#1     -2.5   0.0112         -1     -0.123 TRUE

reproducer documentation built on Oct. 18, 2023, 5:10 p.m.