Experiments DB Dev
e730aa0020
Adds tdcs_phase_lme (same LME refit within learning phases 0-5/6-10/6-13, with per-phase slopes + interaction 95% CI) as phase_* switch cases, and tdcs_power_sim (Monte-Carlo power for the early-phase interaction, scored by the cluster-honest per-animal test and the LME test) + run_power. Findings: the Box-B2 faster-acquisition signal is in the early phase; at n=3-5/group honest power is 0.3-0.7 even at the observed effect (need ~8/group if effect is as observed, ~20/group if half). Adds tPhasePower tests. Suite 35/35. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
20 lines
893 B
Matlab
20 lines
893 B
Matlab
%RUN_ALL Run all tDCS scenarios and write results/<scenario>.txt for each.
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% Usage: matlab -batch "run_all"
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% Covers the 6 GLMM scenarios and their 6 linear "days x tDCS" (lme_*) variants.
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scenarios = {'unmerged_full', 'unmerged_d0_10', ...
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'mergeA2_full', 'mergeA2_d0_10', ...
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'mergeB2_full', 'mergeB2_d0_10', ...
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'lme_unmerged_full', 'lme_unmerged_d0_10', ...
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'lme_mergeA2_full', 'lme_mergeA2_d0_10', ...
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'lme_mergeB2_full', 'lme_mergeB2_d0_10', ...
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'lme_unmerged_d0_13', 'lme_mergeA2_d0_13', 'lme_mergeB2_d0_13', ...
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'phase_unmerged', 'phase_mergeA2', 'phase_mergeB2'};
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for i = 1:numel(scenarios)
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fprintf('\n\n### Running scenario: %s ###\n', scenarios{i});
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tdcs_glm(scenarios{i});
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end
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fprintf('\n\nAll %d scenarios complete. See analysis/matlab/results/*.txt.\n', numel(scenarios));
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