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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.
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