tests/testthat/_snaps/CI_smd_ind_contrast.md

CI_smd_ind_contrast compare to publshed examples

Code
  res
Output
  $effect_size
  [1] -0.8528028

  $LL
  [1] -2.121155

  $UL
  [1] 0.4482578

  $numerator
  [1] -2

  $denominator
  [1] 2.345208

  $SE
  [1] 0.6554747

  $df
  [1] 12

  $d_biased
  [1] -0.8528028

  $properties
  $properties$effect_size_name
  [1] "d_s"

  $properties$effect_size_name_html
  [1] "<i>d</i><sub>s.biased</sub>"

  $properties$denominator_name
  [1] "s_p"

  $properties$denominator_name_html
  [1] "<i>s</i><sub>p</sub>"

  $properties$bias_corrected
  [1] FALSE

  $properties$effect_size_category
  [1] "difference"

  $properties$effect_size_precision
  [1] "magnitude"

  $properties$conf_level
  [1] 0.95

  $properties$assume_equal_variance
  [1] TRUE

  $properties$error_distribution
  [1] "t_dist"

  $properties$message
  This standardized mean difference is called d_s because the standardizer used was s_p. d_s has *not* been corrected for bias. Correction for bias can be important when df < 50.

  $properties$message_html
  This standardized mean difference is called <i>d</i><sub>s.biased</sub>
  because the standardizer used was <i>s</i><sub>p</sub>.<br>
  <i>d</i><sub>s.biased</sub> has *not*
  been corrected for bias.
  Correction for bias can be important when <i>df</i> < 50.  <br>


rcalinjageman/esci documentation built on Dec. 23, 2024, 2:37 p.m.