969c0205e8
Add make_variations.m + variation_analyze.m generating 20 self-contained subfolders under analysis/matlab/variations/, one per grouping x day-window, each with exactly three files: data.csv (curated subset), analyze.m (a simple standalone script fitting behavior ~ stim + day + stim:day + (1|rat) on the success COUNT), and result.txt (its output). Plus variations/SUMMARY.csv. Groupings (stim=1 / stim=0, other groups dropped): unmerge B2 vs A2 right_only B2+Right vs A2 (Box-A dropped) naive_a2 B2 vs A2+Naive (Right, Box-A dropped) naive_boxa B2 vs A2+Naive+Box-A (Right dropped) Windows: 0-10, 0-13, 0-5, 6-10, 6-13. All 20 have equal day coverage. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2.3 KiB
2.3 KiB
| 1 | variation | grouping | window | nRats | nObs | covEqual | interaction_p | interaction_est | stim_p | day_p |
|---|---|---|---|---|---|---|---|---|---|---|
| 2 | unmerge_d0_10 | unmerge | d0_10 | 6 | 61 | 1 | 0.142831730250263 | 1.55766564374789 | 0.497389134925754 | 2.83166776054496e-14 |
| 3 | unmerge_d0_13 | unmerge | d0_13 | 6 | 70 | 1 | 0.1037612192755 | 1.54665472676189 | 0.343602740986316 | 3.0346358823857e-13 |
| 4 | unmerge_d0_5 | unmerge | d0_5 | 6 | 36 | 1 | 0.015149263054839 | 5.36190476190475 | 0.688839435920596 | 1.57055423419133e-07 |
| 5 | unmerge_d6_10 | unmerge | d6_10 | 5 | 25 | 1 | 0.485980598616448 | 1.76666666666666 | 0.0975215172907211 | 0.227259314093653 |
| 6 | unmerge_d6_13 | unmerge | d6_13 | 5 | 34 | 1 | 0.0971009786566259 | 2.26696773140328 | 0.101395665857404 | 0.117493504965036 |
| 7 | right_only_d0_10 | right_only | d0_10 | 7 | 72 | 1 | 0.072180139606096 | 1.73004431141938 | 0.715879551990348 | 5.94289273347193e-16 |
| 8 | right_only_d0_13 | right_only | d0_13 | 7 | 84 | 1 | 0.0480416099228058 | 1.7001712792199 | 0.528517264593511 | 1.17078898575779e-14 |
| 9 | right_only_d0_5 | right_only | d0_5 | 7 | 42 | 1 | 0.00589730538358453 | 5.30714285714286 | 0.469556667463413 | 1.45827052706827e-08 |
| 10 | right_only_d6_10 | right_only | d6_10 | 6 | 30 | 1 | 0.288979620167748 | 2.425 | 0.119238243812818 | 0.200957769624237 |
| 11 | right_only_d6_13 | right_only | d6_13 | 6 | 42 | 1 | 0.0258497485171371 | 2.75792254325755 | 0.109557181635453 | 0.0976080018855909 |
| 12 | naive_a2_d0_10 | naive_a2 | d0_10 | 10 | 104 | 1 | 0.125891264174292 | 1.43371876298297 | 0.141836960529428 | 1.59796354184479e-27 |
| 13 | naive_a2_d0_13 | naive_a2 | d0_13 | 10 | 124 | 1 | 0.0397967517409217 | 1.61366204723722 | 0.153633906173184 | 2.5469330031931e-28 |
| 14 | naive_a2_d0_5 | naive_a2 | d0_5 | 10 | 59 | 1 | 0.00107331575782455 | 6.96223661591522 | 0.960550975833492 | 1.1254222201539e-09 |
| 15 | naive_a2_d6_10 | naive_a2 | d6_10 | 9 | 45 | 1 | 0.449922139297732 | -1.8 | 0.00929038977362001 | 8.02730473236241e-05 |
| 16 | naive_a2_d6_13 | naive_a2 | d6_13 | 9 | 65 | 1 | 0.439759713746994 | 1.15527349799111 | 0.0165675905421826 | 0.00123453301903328 |
| 17 | naive_boxa_d0_10 | naive_boxa | d0_10 | 11 | 115 | 1 | 0.194116831474294 | 1.17792772470162 | 0.124842156542362 | 1.7431506758907e-32 |
| 18 | naive_boxa_d0_13 | naive_boxa | d0_13 | 11 | 138 | 1 | 0.0848056366333164 | 1.30637615965008 | 0.140502409490992 | 1.21292542612342e-34 |
| 19 | naive_boxa_d0_5 | naive_boxa | d0_5 | 11 | 65 | 1 | 0.00254470765200637 | 6.40329932104724 | 0.881419104187055 | 2.50618640106882e-11 |
| 20 | naive_boxa_d6_10 | naive_boxa | d6_10 | 10 | 50 | 1 | 0.46817073850354 | -1.61904761904762 | 0.014689379915428 | 1.87688778586107e-05 |
| 21 | naive_boxa_d6_13 | naive_boxa | d6_13 | 10 | 73 | 1 | 0.530807487326757 | 0.873689202983884 | 0.0303916991304334 | 6.44631091768978e-05 |