Experiments DB Dev
69 lines
2.9 KiB
Plaintext
69 lines
2.9 KiB
Plaintext
==============================================================================
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VARIATION: prev_f_full [metric: success RATE (success/attempts)]
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==============================================================================
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model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success RATE (success/attempts))
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day = training day within window (0 = first analyzed day)
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treatment (stim=1): b2_f
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control (stim=0): a2_f
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N = 24 rats, 231 sessions raw day coverage: treat 0..9, control 0..9
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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 231
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Fixed effects coefficients 4
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Random effects coefficients 24
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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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-441.62 -420.96 226.81 -453.62
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF pValue
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{'(Intercept)'} 0.25306 0.024155 10.477 227 3.3213e-21
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{'day' } 0.017111 0.0027396 6.246 227 2.0536e-09
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{'stim' } 0.040889 0.034129 1.1981 227 0.23214
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{'day:stim' } 0.006292 0.0038198 1.6472 227 0.1009
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Lower Upper
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0.20547 0.30066
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0.011713 0.02251
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-0.026361 0.10814
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-0.0012348 0.013819
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Random effects covariance parameters (95% CIs):
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Group: rat (24 Levels)
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Name1 Name2 Type Estimate
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{'(Intercept)'} {'(Intercept)'} {'std'} 0.06824
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Lower Upper
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0.049364 0.094332
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 0.081522 0.07404 0.08976
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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(227)= 1.65 F(1)= 2.713 p=0.1009 p=0.101 (df=209)
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day (learning) t(227)= 6.25 F(1)= 39.012 p=2.054e-09 p=2.316e-09 (df=209)
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stim (main, window start) t(227)= 1.20 F(1)= 1.435 p=0.2321 p=0.2378 (df=41)
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interaction 95% CI: [-0.001235, +0.01382]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,22.9)=1.78, p=0.1956
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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 n.s. -- slopes parallel (no differential learning rate) (p=0.1009, slope diff=+0.006292)
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Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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