An S4 class to represent the results of a sequential anova.

Arguments

likelihood_ratio_log: the logarithmic test statistic.
decision: the test decision: "accept H1", "accept H0", or "continue sampling".
A_boundary_log: the lower logarithmic boundary of the test.
B_boundary_log: the upper logarithmic boundary of the test.
f: a number indicating the specified effect size (Cohen's f).
effect_sizes: a list with effect sizes (Cohen's f, eta squared, ...).
alpha: the type I error. A number between 0 and 1.
power: 1 - beta (beta is the type II error probability). A number between 0 and 1.
likelihood_ratio: the likelihood ratio of the test without logarithm.
likelihood_1: the likelihood of the alternative Hypothesis (H1).
likelihood_0: the likelihood of the null Hypothesis (H0).
likelihood_1_log: the logarithmic likelihood of the alternative Hypothesis (H1).
likelihood_0_log: the logarithmic likelihood of the null Hypothesis (H0).
non_centrality_parameter: parameter to calculate the likelihoods
F_value: the F-value of the F-statistic.
df_1: degrees of freedom.
df_2: degrees of freedom.
ss_effect: ss_effect.
ss_residual: ss_residual.
ss_total: ss_total.
total_sample_size: total sample size.
data_name: a character string giving the name(s) of the data.
verbose: a logical value whether you want a verbose output or not.