Experiments DB Dev
89bb95088f
Box-A2 has no data past ~day 13, so the full-range days x tDCS interaction extrapolates A2's slope and is confounded (spuriously significant, wrong sign). Add the _d0_13 window (equal anchor coverage) and a report warning when the two groups' day coverage is unequal. In the fair 0-13 window the interaction is n.s. with a POSITIVE slope diff and the Day-1 tDCS effect is n.s. -- matching the paper's 'equal on Day 1' direction (underpowered at n=8). Suite 32/32. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
80 lines
3.9 KiB
Matlab
80 lines
3.9 KiB
Matlab
classdef tLme < matlab.unittest.TestCase
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%TLME Tests for the linear "days x tDCS" mixed model (tdcs_lme) and its
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% switch/case entry. Golden values computed from this dataset; the
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% mergeA2_full interaction closely reproduces the paper's F=7.12/p=0.008.
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methods (Test)
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function testSubjectCountsAndDayEffect(testCase)
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% N (Box-A2 + Box-B2 subjects) per scenario, and the always-present
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% strong learning (day) effect.
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cfg = tdcs_config();
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expectedN = struct('unmerged_full', 6, 'mergeA2_full', 8, 'mergeB2_full', 8);
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for sc = fieldnames(expectedN)'
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L = tdcs_lme(tdcs_scenario_data(sc{1}), cfg);
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testCase.verifyEqual(L.nSubjects, expectedN.(sc{1}), ...
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sprintf('%s: wrong subject count', sc{1}));
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testCase.verifyEqual(L.day.df1, 1); % F(1) term
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testCase.verifyLessThan(L.day.p, 1e-6, ...
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sprintf('%s: day (learning) effect should be highly significant', sc{1}));
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end
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end
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function testMergeA2ReplicatesPaperInteraction(testCase)
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% mergeA2_full reproduces the paper's days x tDCS interaction
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% (paper: F(1)=7.12, p=0.008; |t|=2.68).
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cfg = tdcs_config();
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L = tdcs_lme(tdcs_scenario_data('mergeA2_full'), cfg);
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testCase.verifyEqual(L.interaction.df1, 1);
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testCase.verifyEqual(L.interaction.F, 7.09, 'AbsTol', 0.1);
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testCase.verifyEqual(L.interaction.p, 0.009, 'AbsTol', 0.002);
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testCase.verifyEqual(abs(L.interaction.t), 2.66, 'AbsTol', 0.05);
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% single-df term: F == t^2
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testCase.verifyEqual(L.interaction.F, L.interaction.t^2, 'RelTol', 1e-6);
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end
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function testEffectStructShape(testCase)
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cfg = tdcs_config();
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L = tdcs_lme(tdcs_scenario_data('unmerged_full'), cfg);
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for f = {'interaction', 'day', 'tDCS'}
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e = L.(f{1});
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for g = {'estimate', 'se', 't', 'df', 'p', 'F', 'df1', 'df2', 'Fp'}
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testCase.verifyTrue(isfield(e, g{1}), ...
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sprintf('%s missing field %s', f{1}, g{1}));
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end
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end
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end
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function testSwitchRunsAndWritesResults(testCase)
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% The lme_* switch cases run end-to-end and write results/<name>.txt.
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here = fileparts(fileparts(mfilename('fullpath'))); % analysis/matlab
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outFile = fullfile(here, 'results', 'lme_mergeA2_full.txt');
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if exist(outFile, 'file'); delete(outFile); end
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evalc("tdcs_glm('lme_mergeA2_full')");
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testCase.verifyTrue(exist(outFile, 'file') == 2, ...
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'lme_mergeA2_full.txt was not written');
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end
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function testBadScenarioErrors(testCase)
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testCase.verifyError(@() tdcs_glm('lme_nonsense'), 'tdcs_glm:badScenario');
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end
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function testD0_13WindowFairCoverageAndParallel(testCase)
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% The 0-13 window caps both anchor groups at day 13 (equal coverage),
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% unlike the full window where Box-A2 stops at 13 but Box-B2 runs on.
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cfg = tdcs_config();
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Lfull = tdcs_lme(tdcs_scenario_data('mergeA2_full'), cfg);
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L13 = tdcs_lme(tdcs_scenario_data('mergeA2_d0_13'), cfg);
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% Full window: unequal coverage (A2 ends ~13, B2 runs later).
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testCase.verifyGreaterThan(abs(Lfull.maxDayB - Lfull.maxDayA), 2);
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% 0-13 window: equal coverage and the (truncation-driven) interaction
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% is no longer significant -- the fair-window result.
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testCase.verifyLessThanOrEqual(L13.maxDayA, 13);
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testCase.verifyLessThanOrEqual(L13.maxDayB, 13);
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testCase.verifyGreaterThan(L13.interaction.p, 0.05);
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testCase.verifyLessThan(L13.day.p, 1e-6); % learning still strong
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end
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end
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end
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