Experiments DB Dev
0e9263b958
Add tdcs_model_summary as the single place that renders a fitted model verbatim (disp(model) with the Command-Window <strong> markup stripped), and route every report through it so all scenarios emit the complete model-fitting output: - tdcs_report: adds the learning-rate GLMM's full summary (count/rate already had theirs); localCleanDisp now delegates to the shared helper. - tdcs_lme_report / tdcs_paper_lme: embed the full fitlme summary before the curated effect table. - tdcs_phase_lme: appends each phase's full fitlme summary. Tests: tReport asserts 3 native summaries in a GLMM report; tLme asserts the lme_*/paper_*/phase_* reports embed 1/1/3 summaries with markup stripped. Suite 39/39. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
65 lines
2.4 KiB
Plaintext
65 lines
2.4 KiB
Plaintext
==============================================================================
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PAPER LME REPLICATION -- unmerged
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==============================================================================
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model: behavior ~ stim + day + stim:day + (1|rat) [stim: Electrode-Box-B2=1 vs Electrode-Box-A2=0]
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N = 6 rats, 71 sessions (day raw; day 0 = paper "Day 1")
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day coverage: stim(B2) 0..14, control(A2) 0..13
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==============================================================================
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FULL MODEL SUMMARY -- fitlme: behavior ~ stim + day + stim:day + (1|rat)
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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 71
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Fixed effects coefficients 4
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Random effects coefficients 6
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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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596.33 609.9 -292.16 584.33
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF pValue
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{'(Intercept)'} 21.53 5.5382 3.8874 67 0.00023506
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{'day' } 6.6587 0.72367 9.2014 67 1.6706e-13
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{'stim' } 8.0204 7.6977 1.0419 67 0.3012
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{'day:stim' } 0.93747 0.9187 1.0204 67 0.3112
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Lower Upper
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10.475 32.584
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5.2143 8.1032
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-7.3444 23.385
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-0.89627 2.7712
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Random effects covariance parameters (95% CIs):
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Group: rat (6 Levels)
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Name1 Name2 Type Estimate
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{'(Intercept)'} {'(Intercept)'} {'std'} 5.7931
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Lower Upper
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2.4723 13.574
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 14.163 11.93 16.813
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effect t (df) F (df1) p
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------------------------------------------------------------------
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stim x day (interaction) t(67)= 1.02 F(1)= 1.041 p=0.3112
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day (learning) t(67)= 9.20 F(1)= 84.665 p=1.671e-13
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stim (main, Day 1) t(67)= 1.04 F(1)= 1.086 p=0.3012
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interaction 95% CI: [-0.90, +2.77]
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Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008; day t(227)=9.64,
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F(1)=267.64, p=1.2e-18; stim t(227)=0.23, F(1)=0.053, p=0.81.
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