bump effectsize version to get fei effect size output and update snap…

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easystats · Sep 30, 2023 · 54e31d8 · 54e31d8
1 parent 88102ca
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -56,7 +56,7 @@ Depends:
     R (>= 3.6)
 Imports:
     bayestestR (>= 0.13.0),
-    effectsize (>= 0.8.5),
+    effectsize (>= 0.8.6.1),
     insight (>= 0.19.3.2),
     parameters (>= 0.20.2),
     performance (>= 0.10.2),

diff --git a/tests/testthat/_snaps/windows/report.htest-chi2.md b/tests/testthat/_snaps/windows/report.htest-chi2.md
@@ -1,138 +1,3 @@
-# report.htest-chi2 report_effectsize
-
-    Code
-      report_effectsize(x)
-    Output
-      Effect sizes were labelled following Funder's (2019) recommendations. 
-      
-      small (Adjusted Cramer's v = 0.10, 95% CI [0.07, 1.00])
-
----
-
-    Code
-      report_effectsize(x, rules = "funder2019")
-    Output
-      Effect sizes were labelled following Funder's (2019) recommendations. 
-      
-      small (Adjusted Cramer's v = 0.10, 95% CI [0.07, 1.00])
-
----
-
-    Code
-      report_effectsize(x, rules = "gignac2016")
-    Output
-      Effect sizes were labelled following Gignac's (2016) recommendations. 
-      
-      small (Adjusted Cramer's v = 0.10, 95% CI [0.07, 1.00])
-
----
-
-    Code
-      report_effectsize(x, rules = "cohen1988")
-    Output
-      Effect sizes were labelled following Cohen's (1988) recommendations. 
-      
-      small (Adjusted Cramer's v = 0.10, 95% CI [0.07, 1.00])
-
----
-
-    Code
-      report_effectsize(x, rules = "evans1996")
-    Output
-      Effect sizes were labelled following Evans's (1996) recommendations. 
-      
-      very weak (Adjusted Cramer's v = 0.10, 95% CI [0.07, 1.00])
-
----
-
-    Code
-      report_effectsize(x, rules = "lovakov2021")
-    Output
-      Effect sizes were labelled following Lovakov's (2021) recommendations. 
-      
-      very small (Adjusted Cramer's v = 0.10, 95% CI [0.07, 1.00])
-
----
-
-    Code
-      report_effectsize(x, type = "cramers_v")
-    Output
-      Effect sizes were labelled following Funder's (2019) recommendations. 
-      
-      small (Adjusted Cramer's v = 0.10, 95% CI [0.07, 1.00])
-
----
-
-    Code
-      report_effectsize(x, type = "pearsons_c")
-    Output
-      Effect sizes were labelled following Funder's (2019) recommendations. 
-      
-      small (Pearson's c = 0.10, 95% CI [0.07, 1.00])
-
----
-
-    Code
-      report_effectsize(x, type = "tschuprows_t", adjust = FALSE)
-    Output
-      Effect sizes were labelled following Funder's (2019) recommendations. 
-      
-      very small (Tschuprow's t = 0.09, 95% CI [0.06, 1.00])
-
----
-
-    Code
-      report_effectsize(x, type = "tschuprows_t")
-    Output
-      Effect sizes were labelled following Funder's (2019) recommendations. 
-      
-      very small (Adjusted Tschuprow's t = 0.08, 95% CI [0.06, 1.00])
-
----
-
-    Code
-      report_effectsize(x, type = "cohens_w")
-    Output
-      Effect sizes were labelled following Funder's (2019) recommendations. 
-      
-      small (Cohens_w = 0.10, 95% CI [0.07, 1.00])
-
----
-
-    Code
-      report_effectsize(x, type = "phi")
-    Output
-      Effect sizes were labelled following Funder's (2019) recommendations. 
-      
-      large (Adjusted Phi = 0.36, 95% CI [0.25, 1.00])
-
----
-
-    Code
-      report_effectsize(x, type = "cohens_h", rules = "sawilowsky2009")
-    Output
-      Effect sizes were labelled following Savilowsky's (2009) recommendations. 
-      
-      medium (Cohen's h = 0.74, 95% CI [0.50, 0.99])
-
----
-
-    Code
-      report_effectsize(x, type = "oddsratio", rules = "chen2010")
-    Output
-      Effect sizes were labelled following Chen's (2010) recommendations. 
-      
-      medium (Odds ratio = 4.73, 95% CI [2.74, 8.17])
-
----
-
-    Code
-      report_effectsize(x, type = "riskratio")
-    Output
-       
-      
-       (Risk_ratio = 2.54, 95% CI [1.80, 3.60])
-
 # report.htest-chi2 report
 
     Code
@@ -318,10 +183,10 @@
     Code
       report(x)
     Output
-      
+      Effect sizes were labelled following Funder's (2019) recommendations.
       
       The Chi-squared test for given probabilities / goodness of fit of
       table(mtcars$cyl) to a distribution of [4: n=3.2, 6: n=9.6, 8: n=19.2] suggests
-      that the effect is statistically significant, and (chi2 = 21.12, p < .001; Fei
-      = 0.27, 95% CI [0.17, 1.00])
+      that the effect is statistically significant, and medium (chi2 = 21.12, p <
+      .001; Fei = 0.27, 95% CI [0.17, 1.00])