function tdcs_glm(scenario) %TDCS_GLM Run one tDCS GLM scenario end-to-end and report it. % TDCS_GLM(SCENARIO) runs the full pipeline for one named scenario -- % TDCS_SCENARIO_DATA -> TDCS_MODELS -> TDCS_REPORT -- printing the % report to the console and writing it to % analysis/matlab/results/.txt. % % SCENARIO must be one of (case-sensitive): % unmerged_full, unmerged_d0_10, % mergeA2_full, mergeA2_d0_10, % mergeB2_full, mergeB2_d0_10 % or a linear "days x tDCS" mixed model (Box-B2 vs Box-A2, per the paper): % lme_unmerged_full, lme_unmerged_d0_10, lme_unmerged_d0_13, % lme_mergeA2_full, lme_mergeA2_d0_10, lme_mergeA2_d0_13, % lme_mergeB2_full, lme_mergeB2_d0_10, lme_mergeB2_d0_13 % The _d0_13 window ends where Box-A2 runs out of data, giving both anchor % groups equal day coverage (the fair window for the interaction). % % Each case below is a self-contained, independently invocable call of % the same three-function pipeline; they are enumerated explicitly % (rather than sharing one generic branch) so each scenario name is % greppable on its own, per the project's spec. % % Example: % tdcs_glm('mergeB2_full') % % See analysis/tdcs_glm.py (the Python this ports) and % docs/superpowers/plans/2026-07-20-matlab-tdcs-analysis.md (Task 4). cfg = tdcs_config(); switch scenario case 'unmerged_full' [S, meta] = tdcs_scenario_data('unmerged_full'); R = tdcs_models(S, meta, cfg); tdcs_report(S, R, meta, cfg, 'unmerged_full'); case 'unmerged_d0_10' [S, meta] = tdcs_scenario_data('unmerged_d0_10'); R = tdcs_models(S, meta, cfg); tdcs_report(S, R, meta, cfg, 'unmerged_d0_10'); case 'mergeA2_full' [S, meta] = tdcs_scenario_data('mergeA2_full'); R = tdcs_models(S, meta, cfg); tdcs_report(S, R, meta, cfg, 'mergeA2_full'); case 'mergeA2_d0_10' [S, meta] = tdcs_scenario_data('mergeA2_d0_10'); R = tdcs_models(S, meta, cfg); tdcs_report(S, R, meta, cfg, 'mergeA2_d0_10'); case 'mergeB2_full' [S, meta] = tdcs_scenario_data('mergeB2_full'); R = tdcs_models(S, meta, cfg); tdcs_report(S, R, meta, cfg, 'mergeB2_full'); case 'mergeB2_d0_10' [S, meta] = tdcs_scenario_data('mergeB2_d0_10'); R = tdcs_models(S, meta, cfg); tdcs_report(S, R, meta, cfg, 'mergeB2_d0_10'); % --- Linear "days x tDCS" mixed model (Box-B2 vs Box-A2), per the paper --- case 'lme_unmerged_full' L = tdcs_lme(tdcs_scenario_data('unmerged_full'), cfg); tdcs_lme_report(L, 'lme_unmerged_full', cfg); case 'lme_unmerged_d0_10' L = tdcs_lme(tdcs_scenario_data('unmerged_d0_10'), cfg); tdcs_lme_report(L, 'lme_unmerged_d0_10', cfg); case 'lme_mergeA2_full' L = tdcs_lme(tdcs_scenario_data('mergeA2_full'), cfg); tdcs_lme_report(L, 'lme_mergeA2_full', cfg); case 'lme_mergeA2_d0_10' L = tdcs_lme(tdcs_scenario_data('mergeA2_d0_10'), cfg); tdcs_lme_report(L, 'lme_mergeA2_d0_10', cfg); case 'lme_mergeB2_full' L = tdcs_lme(tdcs_scenario_data('mergeB2_full'), cfg); tdcs_lme_report(L, 'lme_mergeB2_full', cfg); case 'lme_mergeB2_d0_10' L = tdcs_lme(tdcs_scenario_data('mergeB2_d0_10'), cfg); tdcs_lme_report(L, 'lme_mergeB2_d0_10', cfg); case 'lme_unmerged_d0_13' L = tdcs_lme(tdcs_scenario_data('unmerged_d0_13'), cfg); tdcs_lme_report(L, 'lme_unmerged_d0_13', cfg); case 'lme_mergeA2_d0_13' L = tdcs_lme(tdcs_scenario_data('mergeA2_d0_13'), cfg); tdcs_lme_report(L, 'lme_mergeA2_d0_13', cfg); case 'lme_mergeB2_d0_13' L = tdcs_lme(tdcs_scenario_data('mergeB2_d0_13'), cfg); tdcs_lme_report(L, 'lme_mergeB2_d0_13', cfg); otherwise error('tdcs_glm:badScenario', ... ['Unrecognized scenario "%s". Valid scenarios are: ' ... 'unmerged_full, unmerged_d0_10, mergeA2_full, mergeA2_d0_10, ' ... 'mergeB2_full, mergeB2_d0_10, and their lme_* variants ' ... '(lme_unmerged_full, ..., lme_mergeB2_d0_10).'], scenario); end end