Skip to contents

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

Arguments

plot

list with all arguments for the plot_anova() function

Slots

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.