Experiments DB Dev
800189371b
Adds make_figure (2-panel learning curves + per-phase slopes, colorblind-safe Box-B2/Box-A2 palette) -> results/figure_learning.png; analysis/writeup.md (figure + methods + results summary); and tdcs_export_all/run_export exporting every data variation into an organized export/ tree (curated_all, scenarios/9, anchors/3 with tDCS factor, phases/9 + MANIFEST). Adds tExport tests. Suite 36/36. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
79 lines
2.9 KiB
Matlab
79 lines
2.9 KiB
Matlab
function files = tdcs_export_all(outRoot)
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%TDCS_EXPORT_ALL Export every data variation to CSV in an organized folder tree.
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% FILES = TDCS_EXPORT_ALL() writes, under analysis/matlab/export/:
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% curated_all.csv the 12-animal curated long data (day >= 0)
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% scenarios/<merge>_<win>.csv each GLMM scenario table (all groups in that
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% merge/window): 3 merges x 3 windows = 9 files
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% anchors/<merge>_B2vsA2.csv the Box-B2(tDCS=1) vs Box-A2(tDCS=0) subset
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% (full range) with the tDCS factor: 3 files
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% phases/<merge>_phase_<lo>-<hi>.csv the anchor subset within each learning
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% phase (dayp = day - phaseStart): 3 x 3 = 9 files
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% A MANIFEST.txt listing all files is also written. FILES is a cellstr of the
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% absolute paths written.
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%
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% TDCS_EXPORT_ALL(OUTROOT) writes under OUTROOT instead of the default.
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if nargin < 1 || isempty(outRoot)
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outRoot = fullfile(fileparts(mfilename('fullpath')), 'export');
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end
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cfg = tdcs_config();
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merges = {'unmerged', 'mergeA2', 'mergeB2'};
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windows = {'full', 'd0_10', 'd0_13'};
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phases = {[0 5], [6 10], [6 13]};
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scDir = fullfile(outRoot, 'scenarios');
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anDir = fullfile(outRoot, 'anchors');
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phDir = fullfile(outRoot, 'phases');
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cellfun(@localMkdir, {outRoot, scDir, anDir, phDir});
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files = {};
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% 1. curated long data
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f = fullfile(outRoot, 'curated_all.csv');
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writetable(tdcs_load_data(), f); files{end+1} = f; %#ok<AGROW>
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% 2. scenario tables (merge x window)
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for mi = 1:numel(merges)
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for wi = 1:numel(windows)
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sc = [merges{mi} '_' windows{wi}];
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S = tdcs_scenario_data(sc);
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f = fullfile(scDir, [sc '.csv']);
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writetable(S, f); files{end+1} = f; %#ok<AGROW>
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end
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end
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% 3. anchor (Box-B2 vs Box-A2) subsets + tDCS factor, full range
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% 4. phase subsets of the same
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for mi = 1:numel(merges)
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S = tdcs_scenario_data([merges{mi} '_full']);
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A = S(ismember(S.group, {cfg.anchorLow, cfg.anchorHigh}), :);
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A.tDCS = double(A.group == cfg.anchorHigh); % Box-B2 = 1, Box-A2 = 0
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f = fullfile(anDir, [merges{mi} '_B2vsA2.csv']);
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writetable(A, f); files{end+1} = f; %#ok<AGROW>
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for pi = 1:numel(phases)
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p = phases{pi};
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P = A(A.day >= p(1) & A.day <= p(2), :);
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P.dayp = P.day - p(1);
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f = fullfile(phDir, sprintf('%s_phase_%d-%d.csv', merges{mi}, p(1), p(2)));
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writetable(P, f); files{end+1} = f; %#ok<AGROW>
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end
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end
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% manifest
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mfid = fopen(fullfile(outRoot, 'MANIFEST.txt'), 'w');
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if mfid >= 0
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cleanup = onCleanup(@() fclose(mfid)); %#ok<NASGU>
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fprintf(mfid, 'tDCS data export -- %d files\n', numel(files));
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for i = 1:numel(files)
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fprintf(mfid, ' %s\n', strrep(files{i}, [outRoot filesep], ''));
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end
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end
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files = files(:);
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fprintf('tdcs_export_all: wrote %d CSVs under %s\n', numel(files), outRoot);
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end
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function localMkdir(d)
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if ~exist(d, 'dir'); mkdir(d); end
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end
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