seq_ttest_results-class: An S4 class to represent the results of a sequential t-test.

In sprtt: Sequential Probability Ratio Tests Toolbox

An S4 class to represent the results of a sequential t-test.

Description

An S4 class to represent the results of a sequential t-test.

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.

d

a number indicating the specified effect size (Cohen's d).

mu

a number indicating the true value of the mean (or difference in means if you are performing a two sample test).

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

t_value

the t-value of the t-statistic.

p_value

the p-value of the t-test.

df

degrees of freedom.

mean_estimate

the estimated mean or difference in means depending on whether it was a one-sample test or a two-sample test.

alternative

a character string specifying the alternative hypothesis: "two.sided" (default), "greater" or "less".

one_sample

"true" if it is a one-sample test, "false" if it is a two-sample test.

ttest_method

a character string indicating what type of t-test was performed.

data_name

a character string giving the name(s) of the data.

verbose

a logical value whether you want a verbose output or not.

sprtt documentation built on July 9, 2023, 6:14 p.m.