seq_anova.md
In sprtt: Sequential Probability Ratio Tests Toolbox

seq_anova: snapshots

Code
  seq_anova(y ~ x, f = 0.4, data = data)
Output

  *****  Sequential ANOVA *****

  formula: y ~ x
  test statistic:
   log-likelihood ratio = 8.483, decision = accept H1
  SPRT thresholds:
   lower log(B) = -2.944, upper log(A) = 2.944
  Log-Likelihood of the:
   alternative hypothesis = -2.219
   null hypothesis = -10.702
  alternative hypothesis: true difference in means is not equal to 0.
  specified effect size: Cohen's f = 0.4
  empirical Cohen's f = 0.444537, 95% CI[0.2414272, 0.5972637]
  Cohen's f adjusted = 0.41
  degrees of freedom: df1 = 3, df2 = 136
  SS effect = 233.3018, SS residual = 1180.598, SS total = 1413.9
  *Note: to get access to the object of the results use the @ or [] instead of the $ operator.

Code
  seq_anova(age ~ sex, f = 0.4, data = df_age)
Output

  *****  Sequential ANOVA *****

  formula: age ~ sex
  test statistic:
   log-likelihood ratio = 3.114, decision = accept H1
  SPRT thresholds:
   lower log(B) = -2.944, upper log(A) = 2.944
  Log-Likelihood of the:
   alternative hypothesis = -2.466
   null hypothesis = -5.58
  alternative hypothesis: true difference in means is not equal to 0.
  specified effect size: Cohen's f = 0.4
  empirical Cohen's f = 0.3281472, 95% CI[0.1159147, 0.474829]
  Cohen's f adjusted = 0.286
  degrees of freedom: df1 = 3, df2 = 136
  SS effect = 138.001, SS residual = 1281.577, SS total = 1419.578
  *Note: to get access to the object of the results use the @ or [] instead of the $ operator.