One-sided CIs

as per https://github.com/easystats/effectsize/pull/366

This affects, by default, Phi, Cohen's w, Cramer's V, ANOVA effect sizes, rank Epsilon squared, Kendall's W - which now will all default to one-sided CIs.

library(parameters)
df <- iris
df$Sepal.Big <- ifelse(df$Sepal.Width >= 3, "Yes", "No")

model <- aov(Sepal.Length ~ Sepal.Big, data = df)

Old behavior

model_parameters(
  model,
  omega_squared = "partial",
  eta_squared = "partial",
  epsilon_squared = "partial",
  ci = 0.90
)
#> Parameter | Sum_Squares |  df | Mean_Square |    F |     p |   Omega2 | Omega2 90% CI | Eta2 |  Eta2 90% CI | Epsilon2 | Epsilon2 90% CI
#> ----------------------------------------------------------------------------------------------------------------------------------------
#> Sepal.Big |        1.10 |   1 |        1.10 | 1.61 | 0.207 | 4.04e-03 |  [0.00, 0.04] | 0.01 | [0.00, 0.05] | 4.07e-03 |    [0.00, 0.04]
#> Residuals |      101.07 | 148 |        0.68 |      |       |          |               |      |              |          |                
#>   
#> Anova Table (Type 1 tests)

NEW behavior

model_parameters(
  model,
  omega_squared = "partial",
  eta_squared = "partial",
  epsilon_squared = "partial",
  ci = 0.95
)
#> Parameter | Sum_Squares |  df | Mean_Square |    F |     p |   Omega2 | Omega2 95% CI | Eta2 |  Eta2 95% CI | Epsilon2 | Epsilon2 95% CI
#> ----------------------------------------------------------------------------------------------------------------------------------------
#> Sepal.Big |        1.10 |   1 |        1.10 | 1.61 | 0.207 | 4.04e-03 |  [0.00, 1.00] | 0.01 | [0.00, 1.00] | 4.07e-03 |    [0.00, 1.00]
#> Residuals |      101.07 | 148 |        0.68 |      |       |          |               |      |              |          |                
#>   
#> Anova Table (Type 1 tests)

Information about the "side" can be found in the "alternative" attribute:

library(effectsize)

cohens_d(mpg ~ am, data = mtcars) |>
  attr("alternative")
#> [1] "two.sided"

cohens_d(mpg ~ am, data = mtcars, alternative = "g") |>
  attr("alternative")
#> [1] "greater"

cohens_d(mpg ~ am, data = mtcars, alternative = "less") |>
  attr("alternative")
#> [1] "less"

^{Created on 2021-08-18 by the reprex package (v2.0.1)}

Reproduce the supplied parameters and effectsize examples, then trace how confidence-interval sides are handled for Phi, Cohen's w, Cramer's V, ANOVA effect sizes, rank Epsilon squared, and Kendall's W. Done means the reported intervals and the alternative attribute consistently reflect the intended one-sided defaults.