Experiments DB Dev
e1af1af7f4
Add make_boxa_variations.m producing 6 variation folders (data.csv + analyze.m + result.txt) for the paper LME over windows 0-5, 6-10, 0-10: boxa_a2 B2 vs A2 + Box-A (b2 vs a2+a) boxa_b2 B2 + Box-A vs A2 (b2+a vs a2) plus variations/boxa_summary.csv (residual / Satterthwaite / random-slope interaction p). Early window (0-5) is obs-level significant (res p~0.03-0.04) but n.s. under the honest random-slope test (rs p~0.13); later windows n.s. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
69 lines
2.9 KiB
Plaintext
69 lines
2.9 KiB
Plaintext
==============================================================================
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VARIATION: boxa_b2_d0_5
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==============================================================================
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model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success COUNT)
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day = training day within window (0 = first analyzed day)
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treatment (stim=1): Electrode-Box-A, Electrode-Box-B2
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control (stim=0): Electrode-Box-A2
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N = 7 rats, 42 sessions raw day coverage: treat 0..5, control 0..5
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(equal day coverage over this window)
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==============================================================================
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FULL MODEL SUMMARY -- fitlme
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==============================================================================
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Linear mixed-effects model fit by ML
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Model information:
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Number of observations 42
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Fixed effects coefficients 4
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Random effects coefficients 7
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Covariance parameters 2
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Formula:
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behavior ~ 1 + day*stim + (1 | rat)
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Model fit statistics:
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AIC BIC LogLikelihood Deviance
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341.62 352.04 -164.81 329.62
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF pValue
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{'(Intercept)'} 12.524 5.8127 2.1546 38 0.037599
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{'day' } 9.8571 1.5596 6.3204 38 2.0711e-07
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{'stim' } -4.7262 7.6895 -0.61463 38 0.54246
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{'day:stim' } 4.7071 2.0631 2.2816 38 0.028206
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Lower Upper
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0.75663 24.291
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6.6999 13.014
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-20.293 10.84
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0.53057 8.8837
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Random effects covariance parameters (95% CIs):
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Group: rat (7 Levels)
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Name1 Name2 Type Estimate
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{'(Intercept)'} {'(Intercept)'} {'std'} 5.8715
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Lower Upper
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2.486 13.868
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 11.3 8.9402 14.283
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effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
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----------------------------------------------------------------------------
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stim x day (interaction) t(38)= 2.28 F(1)= 5.206 p=0.02821 p=0.02871 (df=35)
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day (learning) t(38)= 6.32 F(1)= 39.947 p=2.071e-07 p=2.928e-07 (df=35)
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stim (main, window start) t(38)= -0.61 F(1)= 0.378 p=0.5425 p=0.5456 (df=20)
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interaction 95% CI: [+0.53, +8.88]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,7.0)=2.92, p=0.131
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(Satterthwaite DF ~= residual on this random-intercept model; the random-slope
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model above is the honest learning-rate test -- DF collapses toward the animal count.)
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INTERPRETATION: stim x day interaction SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.02821, slope diff=+4.71)
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Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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