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abs(maxT - maxC) > 2 else cov = '(equal day coverage over this window)'; end - +y ii = gi('day:stim'); pI = C.pValue(ii); eI = C.Estimate(ii); if pI >= 0.05 verdict = 'n.s. -- slopes parallel (no differential learning rate)'; diff --git a/analysis/matlab/variations/naive_a2_d0_5/result.txt b/analysis/matlab/variations/naive_a2_d0_5/result.txt index c43157d..bcec046 100644 --- a/analysis/matlab/variations/naive_a2_d0_5/result.txt +++ b/analysis/matlab/variations/naive_a2_d0_5/result.txt @@ -28,27 +28,16 @@ Model fit statistics: 489.28 501.74 -238.64 477.28 Fixed effects coefficients (95% CIs): - Name Estimate SE tStat DF pValue - {'(Intercept)'} 9.0584 5.0267 1.8021 55 0.077018 - {'day' } 8.2568 1.1279 7.3206 55 1.1254e-09 - {'stim' } 0.44958 9.048 0.049688 55 0.96055 - {'day:stim' } 6.9622 2.0162 3.4532 55 0.0010733 - - - Lower Upper - -1.0153 19.132 - 5.9965 10.517 - -17.683 18.582 - 2.9217 11.003 + Name Estimate SE tStat DF pValue Lower Upper + {'(Intercept)'} 9.0584 5.0267 1.8021 55 0.077018 -1.0153 19.132 + {'day' } 8.2568 1.1279 7.3206 55 1.1254e-09 5.9965 10.517 + {'stim' } 0.44958 9.048 0.049688 55 0.96055 -17.683 18.582 + {'day:stim' } 6.9622 2.0162 3.4532 55 0.0010733 2.9217 11.003 Random effects covariance parameters (95% CIs): Group: rat (10 Levels) - Name1 Name2 Type Estimate - {'(Intercept)'} {'(Intercept)'} {'std'} 9.6432 - - - Lower Upper - 5.5002 16.907 + Name1 Name2 Type Estimate Lower Upper + {'(Intercept)'} {'(Intercept)'} {'std'} 9.6432 5.5002 16.907 Group: Error Name Estimate Lower Upper