Files
experiments-database/analysis/matlab/run_all.m
T
Experiments DB Dev 7b5c27df8c feat(matlab): verbatim paper LME (behavior ~ stim+day+stim:day+(1|rat)) + power sim on it
Adds tdcs_paper_lme replicating the paper's exact formula/variable names (paper_*
switch cases): mergeA2 reproduces the interaction F(1)=7.09 vs 7.12, p=0.009 vs
0.008, with a coverage-confound warning. Rewrites tdcs_power_sim to fit that same
formula (interaction term canonicalized to day:stim). Adds a replication test.
Suite 37/37.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-20 12:40:26 -04:00

21 lines
962 B
Matlab

%RUN_ALL Run all tDCS scenarios and write results/<scenario>.txt for each.
% Usage: matlab -batch "run_all"
% Covers the 6 GLMM scenarios and their 6 linear "days x tDCS" (lme_*) variants.
scenarios = {'unmerged_full', 'unmerged_d0_10', ...
'mergeA2_full', 'mergeA2_d0_10', ...
'mergeB2_full', 'mergeB2_d0_10', ...
'lme_unmerged_full', 'lme_unmerged_d0_10', ...
'lme_mergeA2_full', 'lme_mergeA2_d0_10', ...
'lme_mergeB2_full', 'lme_mergeB2_d0_10', ...
'lme_unmerged_d0_13', 'lme_mergeA2_d0_13', 'lme_mergeB2_d0_13', ...
'phase_unmerged', 'phase_mergeA2', 'phase_mergeB2', ...
'paper_unmerged', 'paper_mergeA2', 'paper_mergeB2'};
for i = 1:numel(scenarios)
fprintf('\n\n### Running scenario: %s ###\n', scenarios{i});
tdcs_glm(scenarios{i});
end
fprintf('\n\nAll %d scenarios complete. See analysis/matlab/results/*.txt.\n', numel(scenarios));