Closed a-torgovitsky closed 4 years ago
Also, summary
should print
Done!
Sample output during bisection method:
=== Computing lower bound of confidence interval ===
Iteration Test point Lower bound Upper bound p-value Decision
Left end-pt. 0.00000 0.00000 NA 0.00000 Reject
Right end-pt. 0.40000 NA 0.40000 0.78790 Do not reject
1 0.20000 0.00000 0.40000 0.00000 Reject
2 0.30000 0.20000 0.40000 0.00000 Reject
3 0.35000 0.30000 0.40000 0.00000 Reject
4 0.37500 0.35000 0.40000 0.25260 Do not reject
5 0.36250 0.35000 0.37500 0.02290 Reject
6 0.36875 0.36250 0.37500 0.09170 Do not reject
7 0.36562 0.36250 0.36875 0.04640 Do not reject
8 0.36406 0.36250 0.36562 0.03300 Do not reject
9 0.36328 0.36250 0.36406 0.02780 Do not reject
>>> Length of interval is below tolerance level. Bisection method is completed.
Sample message when using summary
command:
Call:
invertci(f = dkqs, farg = farg, alpha = 0.05, lb0 = 0, lb1 = 0.4,
ub0 = 1, ub1 = 0.6, tol = 0.001, max_iter = 50, df_ci = NULL,
progress = TRUE)
Significance level: 0.05.
=== Iterations in constructing upper bound:
Iteration Test point Lower bound Upper bound p-value Decision
Left end-pt. 0.60000 0.60000 NA 0.77780 Do not reject
Right end-pt. 1.00000 NA 1.00000 0.00000 Reject
1 0.80000 0.60000 1.00000 0.00000 Reject
2 0.70000 0.60000 0.80000 0.00000 Reject
3 0.65000 0.60000 0.70000 0.04140 Do not reject
4 0.67500 0.65000 0.70000 0.00000 Reject
5 0.66250 0.65000 0.67500 0.00000 Reject
6 0.65625 0.65000 0.66250 0.01180 Reject
7 0.65312 0.65000 0.65625 0.02130 Reject
8 0.65156 0.65000 0.65312 0.03000 Do not reject
9 0.65234 0.65156 0.65312 0.02570 Do not reject
>>> Reached maximum number of iterations
=== Iterations in constructing lower bound:
Iteration Test point Lower bound Upper bound p-value Decision
Left end-pt. 0.00000 0.00000 NA 0.00000 Reject
Right end-pt. 0.40000 NA 0.40000 0.78790 Do not reject
1 0.20000 0.00000 0.40000 0.00000 Reject
2 0.30000 0.20000 0.40000 0.00000 Reject
3 0.35000 0.30000 0.40000 0.00000 Reject
4 0.37500 0.35000 0.40000 0.25260 Do not reject
5 0.36250 0.35000 0.37500 0.02290 Reject
6 0.36875 0.36250 0.37500 0.09170 Do not reject
7 0.36562 0.36250 0.36875 0.04640 Do not reject
8 0.36406 0.36250 0.36562 0.03300 Do not reject
9 0.36328 0.36250 0.36406 0.02780 Do not reject
>>> Reached maximum number of iterations
Looks good. A couple minor edits:
Done!
Updated sample output:
=== Iterations in constructing lower bound:
Iteration Lower bound Upper bound Test point p-value Reject?
Left end pt. 0.00000 NA 0.00000 0.00000 TRUE
Right end pt. NA 0.40000 0.40000 0.78790 FALSE
1 0.00000 0.40000 0.20000 0.00000 TRUE
2 0.20000 0.40000 0.30000 0.00000 TRUE
3 0.30000 0.40000 0.35000 0.00000 TRUE
4 0.35000 0.40000 0.37500 0.25260 FALSE
5 0.35000 0.37500 0.36250 0.02290 TRUE
6 0.36250 0.37500 0.36875 0.09170 FALSE
7 0.36250 0.36875 0.36562 0.04640 FALSE
8 0.36250 0.36562 0.36406 0.03300 FALSE
9 0.36250 0.36406 0.36328 0.02780 FALSE
>>> Reached maximum number of iterations
something like this
with each new row printed after each iteration
so if
progress = TRUE
there should be two tables printed: One for the left endpoint, one for the right endpoint after the table, you can print why termination happened the same way you do now