[audreyyeoCH]

close #153

[github-actions]

Unit Test Performance Difference

Test Suite	$Status$	Time on main	$±Time$	$±Tests$	$±Skipped$	$±Failures$	$±Errors$
ocPostprob	💚	$27.44$	$-1.24$	$0$	$0$	$0$	$0$
ocPredprob	💔	$205.75$	$+12.68$	$0$	$0$	$0$	$0$
ocPredprobDist	💔	$95.96$	$+4.09$	$0$	$0$	$0$	$0$
ocRctPredprobDist	💔	$28.95$	$+1.92$	$0$	$0$	$0$	$0$
plotOc	💔	$213.19$	$+8.39$	$0$	$0$	$0$	$0$
predprobDist	💚	$40.01$	$-38.76$	$-2426$	$0$	$0$	$0$

Additional test case details

Test Suite	$Status$	Time on main	$±Time$	Test Case
ocPostprob	💚	$3.13$	$-1.88$	h_get_looks_together_with_h_get_distance_always_gives_unique_looks
ocPredprob	💔	$202.91$	$+12.49$	ocPredprob_correctly_shows_maximum_sample_size_when_no_decision_reached
ocPredprobDist	💔	$24.76$	$+1.26$	ocPredprobDist_gives_higher_PrEfficacy_with_more_efficacy_looks
ocPredprobDist	💔	$61.58$	$+2.81$	ocPredprobDist_gives_higher_PrFutility_with_more_futility_looks
plotOc	💔	$56.55$	$+2.03$	h_get_dataframe_oc_gives_correct_results_for_ocPredprobDist_when_relativeDelta_FALSE
plotOc	💔	$48.83$	$+2.10$	h_get_dataframe_oc_gives_correct_results_for_ocPredprobDist_when_relativeDelta_TRUE
plotOc	💔	$104.74$	$+4.01$	plotOc_gives_expected_results_for_ocPredprobDist_with_different_relativeDelta_status
predprob	💀	$0.02$	$-0.02$	Warning_length_equal_to_length_of_x
predprobDist	💚	$4.42$	$-4.23$	h_predprobdist_gives_correct_list
predprobDist	💚	$11.30$	$-10.97$	h_predprobdist_gives_higher_predictive_probability_when_thetaT_is_lower
predprobDist	💚	$16.20$	$-15.84$	predprobDist_gives_higher_predictive_probability_when_thetaT_is_lower_in_a_single_arm_trial
predprobDist	💚	$7.06$	$-6.88$	predprobDist_gives_the_correct_results_in_a_two_arm_study

Results for commit 28098a8

♻️ This comment has been updated with latest results.

[github-actions]

Code Coverage Summary

Filename                 Stmts    Miss  Cover    Missing
---------------------  -------  ------  -------  -----------
R/betadiff.R                78       0  100.00%
R/boundsPostprob.R          44       0  100.00%
R/boundsPredprob.R          56       1  98.21%   83
R/dbetabinom.R              96       3  96.88%   32, 62, 147
R/oc2.R                    162     162  0.00%    93-326
R/oc3.R                    146     146  0.00%    91-308
R/ocPostprob.R             117       0  100.00%
R/ocPostprobDist.R         122       0  100.00%
R/ocPredprob.R             205       0  100.00%
R/ocPredprobDist.R         257       5  98.05%   363-367
R/ocRctPostprobDist.R      174       0  100.00%
R/ocRctPredprobDist.R      302       0  100.00%
R/plotBeta.R                97       9  90.72%   124-132
R/plotBounds.R              83      83  0.00%    42-130
R/plotDecision.R            73       0  100.00%
R/plotOc.R                  55       2  96.36%   99-100
R/postprob.R                34       1  97.06%   113
R/postprobDist.R            77       1  98.70%   204
R/predprob.R                36       0  100.00%
R/predprobDist.R           140       1  99.29%   269
R/runShinyPhase1b.R          4       4  0.00%    8-13
R/sumBetaDiff.R             80      15  81.25%   102-120
R/sumTable.R                36       0  100.00%
TOTAL                     2474     433  82.50%

Diff against main

Filename          Stmts    Miss  Cover
--------------  -------  ------  -------
R/dbetabinom.R       -3       0  -0.09%
TOTAL                -3       0  -0.02%

Results for commit: b3c94f1

Minimum allowed coverage is 80%

♻️ This comment has been updated with latest results

[github-actions]

Unit Tests Summary

    1 files     20 suites   10m 6s ⏱️
  139 tests   137 ✅ 0 💤 2 ❌
1 323 runs  1 320 ✅ 0 💤 3 ❌

For more details on these failures, see this check.

Results for commit b3c94f1.

♻️ This comment has been updated with latest results.

[audreyyeoCH]

Opening another PR to fix recurring snap fails, see #154, converting this PR to draft for now

[audreyyeoCH]

hi @danielinteractive , this PR is responding this however
this R CMD check fails on the ggplots. I have a plan to fix it in another PR. These plot fail as the current code is not specific enough to the theme() and default has changed with ggplot2, therefore there is always a difference between the snaps and the tests.

Separately, I opened 2 other PRs which I thought was important and easy fixes. To make things a bit more focussed, I have closed them for now.

I'll go ahead an open a new PR to fix these plots, that way the R CMD checks don't fail on these.