samsam2610/experiments-database
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

analysis(matlab): per-variation subfolders (grouping x window) for the paper LME

Browse Source 
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>
This commit is contained in:
Experiments DB Dev
2026-07-20 20:49:54 -04:00
parent 963fd889b2
commit 969c0205e8
63 changed files with 4343 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
analysis/matlab/variations/SUMMARY.csv
+21
View File
@@ -0,0 +1,21 @@
variation,grouping,window,nRats,nObs,covEqual,interaction_p,interaction_est,stim_p,day_p
unmerge_d0_10,unmerge,d0_10,6,61,1,0.142831730250263,1.55766564374789,0.497389134925754,2.83166776054496e-14
unmerge_d0_13,unmerge,d0_13,6,70,1,0.1037612192755,1.54665472676189,0.343602740986316,3.0346358823857e-13
unmerge_d0_5,unmerge,d0_5,6,36,1,0.015149263054839,5.36190476190475,0.688839435920596,1.57055423419133e-07
unmerge_d6_10,unmerge,d6_10,5,25,1,0.485980598616448,1.76666666666666,0.0975215172907211,0.227259314093653
unmerge_d6_13,unmerge,d6_13,5,34,1,0.0971009786566259,2.26696773140328,0.101395665857404,0.117493504965036
right_only_d0_10,right_only,d0_10,7,72,1,0.072180139606096,1.73004431141938,0.715879551990348,5.94289273347193e-16
right_only_d0_13,right_only,d0_13,7,84,1,0.0480416099228058,1.7001712792199,0.528517264593511,1.17078898575779e-14
right_only_d0_5,right_only,d0_5,7,42,1,0.00589730538358453,5.30714285714286,0.469556667463413,1.45827052706827e-08
right_only_d6_10,right_only,d6_10,6,30,1,0.288979620167748,2.425,0.119238243812818,0.200957769624237
right_only_d6_13,right_only,d6_13,6,42,1,0.0258497485171371,2.75792254325755,0.109557181635453,0.0976080018855909
naive_a2_d0_10,naive_a2,d0_10,10,104,1,0.125891264174292,1.43371876298297,0.141836960529428,1.59796354184479e-27
naive_a2_d0_13,naive_a2,d0_13,10,124,1,0.0397967517409217,1.61366204723722,0.153633906173184,2.5469330031931e-28
naive_a2_d0_5,naive_a2,d0_5,10,59,1,0.00107331575782455,6.96223661591522,0.960550975833492,1.1254222201539e-09
naive_a2_d6_10,naive_a2,d6_10,9,45,1,0.449922139297732,-1.8,0.00929038977362001,8.02730473236241e-05
naive_a2_d6_13,naive_a2,d6_13,9,65,1,0.439759713746994,1.15527349799111,0.0165675905421826,0.00123453301903328
naive_boxa_d0_10,naive_boxa,d0_10,11,115,1,0.194116831474294,1.17792772470162,0.124842156542362,1.7431506758907e-32
naive_boxa_d0_13,naive_boxa,d0_13,11,138,1,0.0848056366333164,1.30637615965008,0.140502409490992,1.21292542612342e-34
naive_boxa_d0_5,naive_boxa,d0_5,11,65,1,0.00254470765200637,6.40329932104724,0.881419104187055,2.50618640106882e-11
naive_boxa_d6_10,naive_boxa,d6_10,10,50,1,0.46817073850354,-1.61904761904762,0.014689379915428,1.87688778586107e-05
naive_boxa_d6_13,naive_boxa,d6_13,10,73,1,0.530807487326757,0.873689202983884,0.0303916991304334,6.44631091768978e-05
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