tests/testthat/_snaps/oneway_anova_bayes.md

bayesian (between-subjects - anova)

Code
  dim(df1)
Output
  [1]  7 17
Code
  df1[["expression"]][[1]]
Output
  list(log[e] * (BF["01"]) == "1.54", widehat(italic(R^"2"))["Bayesian"]^"posterior" == 
      "0.00", CI["95%"]^HDI ~ "[" * "0.00", "0.09" * "]", italic("r")["Cauchy"]^"JZS" == 
      "0.71")
Code
  dim(df2)
Output
  [1]  6 17
Code
  df2[["expression"]][[1]]
Output
  list(log[e] * (BF["01"]) == "-65.10", widehat(italic(R^"2"))["Bayesian"]^"posterior" == 
      "0.61", CI["95%"]^HDI ~ "[" * "0.54", "0.67" * "]", italic("r")["Cauchy"]^"JZS" == 
      "0.71")

bayesian (within-subjects - anova)

Code
  dim(df1)
Output
  [1]  7 19
Code
  df1[["expression"]][[1]]
Output
  list(log[e] * (BF["01"]) == "-1.96", widehat(italic(R^"2"))["Bayesian"]^"posterior" == 
      "0.89", CI["95%"]^HDI ~ "[" * "0.85", "0.92" * "]", italic("r")["Cauchy"]^"JZS" == 
      "0.88")
Code
  dim(df2)
Output
  [1]  8 19
Code
  df2[["expression"]][[1]]
Output
  list(log[e] * (BF["01"]) == "-21.04", widehat(italic(R^"2"))["Bayesian"]^"posterior" == 
      "0.53", CI["95%"]^HDI ~ "[" * "0.46", "0.59" * "]", italic("r")["Cauchy"]^"JZS" == 
      "0.71")


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statsExpressions documentation built on Sept. 12, 2023, 5:07 p.m.