============================================================ Feature: HRV_HFn.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 233 Fixed effects coefficients 7 Random effects coefficients 34 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance -453.83 -422.77 235.91 -471.83 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 0.58052 0.018296 31.729 226 3.2686e-85 0.54447 0.61657 {'Condition_EO' } -0.0019122 0.018365 -0.10412 226 0.91717 -0.038102 0.034277 {'Condition_C' } 0.022818 0.018365 1.2425 226 0.21535 -0.013371 0.059008 {'Condition_LK' } -0.0044594 0.018365 -0.24282 226 0.80837 -0.040649 0.03173 {'Condition_E' } 0.0071857 0.018365 0.39126 226 0.69597 -0.029004 0.043375 {'Condition_EC-2'} 0.015562 0.018697 0.83233 226 0.4061 -0.021281 0.052405 {'Condition_EO-2'} -0.019817 0.018873 -1.05 226 0.29484 -0.057006 0.017373 Random effects covariance parameters (95% CIs): Group: Subject (34 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 0.075151 0.057116 0.09888 Group: Error Name Estimate Lower Upper {'Res Std'} 0.075723 0.068633 0.083544 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 1006.7 1 226 3.2686e-85 {'Condition' } 1.1062 6 226 0.35951 ============================================================ Feature: HRV_LF_HF_ratio.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 233 Fixed effects coefficients 7 Random effects coefficients 34 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance 216.42 247.48 -99.208 198.42 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 0.50339 0.07985 6.3041 226 1.5031e-09 0.34604 0.66073 {'Condition_EO' } 0.017559 0.076492 0.22955 226 0.81865 -0.13317 0.16829 {'Condition_C' } -0.068947 0.076492 -0.90136 226 0.36836 -0.21968 0.081783 {'Condition_LK' } 0.010124 0.076492 0.13235 226 0.89482 -0.14061 0.16085 {'Condition_E' } 0.024555 0.076492 0.32101 226 0.7485 -0.12617 0.17528 {'Condition_EC-2'} -0.09161 0.077879 -1.1763 226 0.24071 -0.24507 0.061853 {'Condition_EO-2'} -0.020558 0.078614 -0.26151 226 0.79394 -0.17547 0.13435 Random effects covariance parameters (95% CIs): Group: Subject (34 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 0.34252 0.26218 0.44747 Group: Error Name Estimate Lower Upper {'Res Std'} 0.31539 0.28588 0.34794 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 39.742 1 226 1.5031e-09 {'Condition' } 0.67431 6 226 0.67053 ============================================================ Feature: HRV_LFn.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 233 Fixed effects coefficients 7 Random effects coefficients 34 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance -421.25 -390.19 219.63 -439.25 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 0.20785 0.021641 9.6043 226 1.5535e-18 0.16521 0.25049 {'Condition_EO' } 0.027246 0.019109 1.4258 226 0.15532 -0.01041 0.064901 {'Condition_C' } -0.0078356 0.019109 -0.41004 226 0.68217 -0.045491 0.02982 {'Condition_LK' } 0.021239 0.019109 1.1115 226 0.26755 -0.016416 0.058895 {'Condition_E' } 0.022016 0.019109 1.1521 226 0.2505 -0.01564 0.059671 {'Condition_EC-2'} -0.0029456 0.019458 -0.15138 226 0.87981 -0.041288 0.035396 {'Condition_EO-2'} 0.013366 0.019642 0.6805 226 0.49688 -0.025338 0.052071 Random effects covariance parameters (95% CIs): Group: Subject (34 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 0.098569 0.075988 0.12786 Group: Error Name Estimate Lower Upper {'Res Std'} 0.07879 0.071418 0.086924 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 92.243 1 226 1.5535e-18 {'Condition' } 1.0509 6 226 0.39321 ============================================================ Feature: HRV_MeanNN.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 233 Fixed effects coefficients 7 Random effects coefficients 34 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance 2412.7 2443.8 -1197.4 2394.7 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 821.67 26.153 31.418 226 2.0136e-84 770.13 873.2 {'Condition_EO' } 7.9219 6.8096 1.1633 226 0.24592 -5.4965 21.34 {'Condition_C' } 4.1109 6.8096 0.6037 226 0.54665 -9.3074 17.529 {'Condition_LK' } 10.407 6.8096 1.5283 226 0.12785 -3.0116 23.825 {'Condition_E' } 16.649 6.8096 2.4449 226 0.015253 3.2305 30.067 {'Condition_EC-2'} 24.375 6.9359 3.5143 226 0.00053253 10.708 38.042 {'Condition_EO-2'} 14.717 7.0024 2.1018 226 0.03668 0.91914 28.516 Random effects covariance parameters (95% CIs): Group: Subject (34 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 149.89 118.04 190.34 Group: Error Name Estimate Lower Upper {'Res Std'} 28.077 25.449 30.975 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 987.07 1 226 2.0136e-84 {'Condition' } 2.7891 6 226 0.012301 ============================================================ Feature: HRV_RMSSD.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 233 Fixed effects coefficients 7 Random effects coefficients 34 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance 2312.7 2343.8 -1147.3 2294.7 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 89.691 7.0828 12.663 226 3.9555e-28 75.735 103.65 {'Condition_EO' } 1.6204 6.9041 0.23471 226 0.81465 -11.984 15.225 {'Condition_C' } -0.041836 6.9041 -0.0060595 226 0.99517 -13.647 13.563 {'Condition_LK' } 6.585 6.9041 0.95378 226 0.34121 -7.0197 20.19 {'Condition_E' } 11.117 6.9041 1.6102 226 0.10875 -2.4876 24.722 {'Condition_EC-2'} 17.326 7.0291 2.4649 226 0.014449 3.4753 31.177 {'Condition_EO-2'} 17.564 7.0953 2.4754 226 0.014043 3.5824 31.545 Random effects covariance parameters (95% CIs): Group: Subject (34 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 29.922 22.864 39.159 Group: Error Name Estimate Lower Upper {'Res Std'} 28.466 25.804 31.404 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 160.36 1 226 3.9555e-28 {'Condition' } 2.384 6 226 0.029734 ============================================================ Feature: HRV_SD1.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 233 Fixed effects coefficients 7 Random effects coefficients 34 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance 2154.2 2185.3 -1068.1 2136.2 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 63.789 5.0411 12.654 226 4.2473e-28 53.855 73.723 {'Condition_EO' } 1.1881 4.9136 0.2418 226 0.80916 -8.4942 10.87 {'Condition_C' } -0.032417 4.9136 -0.0065974 226 0.99474 -9.7147 9.6498 {'Condition_LK' } 4.6833 4.9136 0.95314 226 0.34154 -4.999 14.366 {'Condition_E' } 7.9097 4.9136 1.6098 226 0.10885 -1.7726 17.592 {'Condition_EC-2'} 12.324 5.0025 2.4636 226 0.0145 2.4669 22.182 {'Condition_EO-2'} 12.507 5.0497 2.4767 226 0.013993 2.5561 22.457 Random effects covariance parameters (95% CIs): Group: Subject (34 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 21.298 16.274 27.873 Group: Error Name Estimate Lower Upper {'Res Std'} 20.259 18.364 22.35 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 160.12 1 226 4.2473e-28 {'Condition' } 2.3803 6 226 0.029971 ============================================================ Feature: HRV_SD2.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 233 Fixed effects coefficients 7 Random effects coefficients 34 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance 2135 2166 -1058.5 2117 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 69.495 5.3994 12.871 226 8.3962e-29 58.856 80.135 {'Condition_EO' } -1.8925 4.5657 -0.41451 226 0.67889 -10.889 7.1042 {'Condition_C' } -3.5348 4.5657 -0.7742 226 0.43962 -12.532 5.462 {'Condition_LK' } 3.859 4.5657 0.84521 226 0.39889 -5.1378 12.856 {'Condition_E' } 9.0726 4.5657 1.9871 226 0.048116 0.07583 18.069 {'Condition_EC-2'} 16.824 4.6491 3.6188 226 0.00036521 7.663 25.985 {'Condition_EO-2'} 17.601 4.6932 3.7503 226 0.00022444 8.3529 26.849 Random effects covariance parameters (95% CIs): Group: Subject (34 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 25.236 19.508 32.646 Group: Error Name Estimate Lower Upper {'Res Std'} 18.825 17.063 20.768 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 165.66 1 226 8.3962e-29 {'Condition' } 6.8789 6 226 1.0091e-06 ============================================================ Feature: HRV_SDNN.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 233 Fixed effects coefficients 7 Random effects coefficients 34 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance 2137.1 2168.2 -1059.6 2119.1 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 72.264 5.2307 13.815 226 7.0288e-32 61.957 82.571 {'Condition_EO' } -2.1538 4.6327 -0.46492 226 0.64244 -11.283 6.975 {'Condition_C' } -1.6947 4.6327 -0.36581 226 0.71485 -10.824 7.4342 {'Condition_LK' } 4.6617 4.6327 1.0062 226 0.31537 -4.4672 13.791 {'Condition_E' } 9.2659 4.6327 2.0001 226 0.046687 0.13702 18.395 {'Condition_EC-2'} 15.93 4.7172 3.377 226 0.00086273 6.6346 25.225 {'Condition_EO-2'} 15.476 4.7618 3.2499 226 0.0013303 6.0924 24.859 Random effects covariance parameters (95% CIs): Group: Subject (34 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 23.778 18.327 30.85 Group: Error Name Estimate Lower Upper {'Res Std'} 19.101 17.314 21.073 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 190.86 1 226 7.0288e-32 {'Condition' } 5.3449 6 226 3.5227e-05 ============================================================ Feature: HRV_pNN50.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 233 Fixed effects coefficients 7 Random effects coefficients 34 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance 1615.5 1646.5 -798.73 1597.5 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 48.653 2.2533 21.592 226 7.5119e-57 44.213 53.093 {'Condition_EO' } -0.23624 1.4152 -0.16693 226 0.86758 -3.025 2.5525 {'Condition_C' } -1.5659 1.4152 -1.1065 226 0.26969 -4.3547 1.2228 {'Condition_LK' } -0.48134 1.4152 -0.34011 226 0.73409 -3.2701 2.3074 {'Condition_E' } -0.65179 1.4152 -0.46056 226 0.64556 -3.4405 2.1369 {'Condition_EC-2'} 0.79525 1.4413 0.55176 226 0.58166 -2.0449 3.6354 {'Condition_EO-2'} 0.58769 1.4551 0.40389 226 0.68667 -2.2795 3.4549 Random effects covariance parameters (95% CIs): Group: Subject (34 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 11.772 9.2031 15.058 Group: Error Name Estimate Lower Upper {'Res Std'} 5.8351 5.2891 6.4374 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 466.22 1 226 7.5119e-57 {'Condition' } 0.60559 6 226 0.72574 ============================================================ Feature: PHASIC_MEAN.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 208 Fixed effects coefficients 7 Random effects coefficients 31 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance 19.121 49.159 -0.56069 1.1214 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 0.20843 0.046946 4.4397 201 1.4848e-05 0.11586 0.301 {'Condition_EO' } 0.086997 0.056376 1.5431 201 0.12437 -0.024169 0.19816 {'Condition_C' } -0.12998 0.056426 -2.3035 201 0.022271 -0.24124 -0.018716 {'Condition_LK' } -0.11511 0.056426 -2.0399 201 0.042665 -0.22637 -0.0038425 {'Condition_E' } -0.073101 0.056426 -1.2955 201 0.19662 -0.18436 0.038161 {'Condition_EC-2'} -0.10176 0.056982 -1.7859 201 0.075624 -0.21412 0.010595 {'Condition_EO-2'} -0.051599 0.057564 -0.89638 201 0.37112 -0.16511 0.061908 Random effects covariance parameters (95% CIs): Group: Subject (31 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 0.14128 0.099366 0.20088 Group: Error Name Estimate Lower Upper {'Res Std'} 0.21991 0.19807 0.24416 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 19.711 1 201 1.4848e-05 {'Condition' } 3.5763 6 201 0.0021746 ============================================================ Feature: PHASIC_STD.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 208 Fixed effects coefficients 7 Random effects coefficients 31 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance -113.68 -83.639 65.839 -131.68 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 0.13097 0.0346 3.7853 201 0.00020264 0.062744 0.19919 {'Condition_EO' } 0.085627 0.040648 2.1066 201 0.036395 0.0054766 0.16578 {'Condition_C' } -0.078289 0.040688 -1.9242 201 0.055747 -0.15852 0.00194 {'Condition_LK' } -0.068616 0.040688 -1.6864 201 0.093265 -0.14885 0.011613 {'Condition_E' } -0.019182 0.040688 -0.47145 201 0.63783 -0.099411 0.061047 {'Condition_EC-2'} -0.050188 0.041091 -1.2214 201 0.22336 -0.13121 0.030836 {'Condition_EO-2'} -0.011117 0.041512 -0.26781 201 0.78912 -0.092972 0.070737 Random effects covariance parameters (95% CIs): Group: Subject (31 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 0.10942 0.077191 0.1551 Group: Error Name Estimate Lower Upper {'Res Std'} 0.15855 0.14273 0.17613 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 14.328 1 201 0.00020264 {'Condition' } 3.6016 6 201 0.0020537 ============================================================ Feature: RESPIRATORY_BREATHING_RATE.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 220 Fixed effects coefficients 7 Random effects coefficients 32 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance 955.19 985.73 -468.59 937.19 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 17.593 0.60099 29.274 213 1.3472e-76 16.409 18.778 {'Condition_EO' } 0.10187 0.40698 0.2503 213 0.80259 -0.70036 0.9041 {'Condition_C' } -1.0747 0.40323 -2.6653 213 0.0082815 -1.8696 -0.27989 {'Condition_LK' } -1.3785 0.40323 -3.4188 213 0.00075369 -2.1734 -0.58371 {'Condition_E' } -1.1059 0.40323 -2.7425 213 0.0066162 -1.9007 -0.31103 {'Condition_EC-2'} -0.34355 0.40708 -0.84395 213 0.39965 -1.146 0.45887 {'Condition_EO-2'} -0.44373 0.41104 -1.0795 213 0.28158 -1.254 0.3665 Random effects covariance parameters (95% CIs): Group: Subject (32 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 2.9927 2.3171 3.8654 Group: Error Name Estimate Lower Upper {'Res Std'} 1.6129 1.4578 1.7845 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 856.97 1 213 1.3472e-76 {'Condition' } 4.114 6 213 0.00062592 ============================================================ Feature: SMNA_MEAN.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 208 Fixed effects coefficients 7 Random effects coefficients 31 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance -87.799 -57.761 52.899 -105.8 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 0.15845 0.03629 4.3661 201 2.0228e-05 0.086889 0.23 {'Condition_EO' } 0.073307 0.04361 1.681 201 0.094324 -0.012685 0.1593 {'Condition_C' } -0.098132 0.043648 -2.2482 201 0.025646 -0.1842 -0.012065 {'Condition_LK' } -0.086568 0.043648 -1.9833 201 0.048695 -0.17264 -0.00050047 {'Condition_E' } -0.054445 0.043648 -1.2473 201 0.21372 -0.14051 0.031623 {'Condition_EC-2'} -0.074729 0.044079 -1.6954 201 0.091554 -0.16165 0.012186 {'Condition_EO-2'} -0.03767 0.044529 -0.84597 201 0.39857 -0.12547 0.050133 Random effects covariance parameters (95% CIs): Group: Subject (31 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 0.10903 0.076656 0.15506 Group: Error Name Estimate Lower Upper {'Res Std'} 0.17012 0.15322 0.18887 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 19.063 1 201 2.0228e-05 {'Condition' } 3.6602 6 201 0.0017992 ============================================================ Feature: TONIC_MEAN.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 208 Fixed effects coefficients 7 Random effects coefficients 31 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance 537.88 567.92 -259.94 519.88 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } -0.84346 0.15165 -5.5621 201 8.4321e-08 -1.1425 -0.54444 {'Condition_EO' } -0.5526 0.21624 -2.5555 201 0.011342 -0.97899 -0.12621 {'Condition_C' } 0.50749 0.21624 2.3469 201 0.019904 0.081102 0.93388 {'Condition_LK' } 0.90763 0.21624 4.1974 201 4.0531e-05 0.48124 1.334 {'Condition_E' } 0.97658 0.21624 4.5162 201 1.072e-05 0.55019 1.403 {'Condition_EC-2'} 1.0028 0.21813 4.5975 201 7.55e-06 0.57273 1.4329 {'Condition_EO-2'} 1.0764 0.22013 4.8899 201 2.0616e-06 0.64235 1.5105 Random effects covariance parameters (95% CIs): Group: Subject (31 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 9.3739e-17 NaN NaN Group: Error Name Estimate Lower Upper {'Res Std'} 0.84433 0.76697 0.92949 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 30.936 1 201 8.4321e-08 {'Condition' } 16.109 6 201 4.1661e-15 ============================================================ Feature: TONIC_STD.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 208 Fixed effects coefficients 7 Random effects coefficients 31 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance -98.158 -68.12 58.079 -116.16 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 0.15338 0.035001 4.3821 201 1.8923e-05 0.084362 0.2224 {'Condition_EO' } 0.096439 0.042835 2.2514 201 0.025442 0.011975 0.1809 {'Condition_C' } -0.089172 0.042868 -2.0801 201 0.038781 -0.1737 -0.0046427 {'Condition_LK' } -0.078636 0.042868 -1.8344 201 0.068079 -0.16317 0.0058935 {'Condition_E' } -0.037433 0.042868 -0.87322 201 0.38359 -0.12196 0.047096 {'Condition_EC-2'} -0.0698 0.043289 -1.6124 201 0.10844 -0.15516 0.015559 {'Condition_EO-2'} -0.029149 0.043729 -0.66658 201 0.5058 -0.11538 0.057078 Random effects covariance parameters (95% CIs): Group: Subject (31 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 0.10028 0.068413 0.14699 Group: Error Name Estimate Lower Upper {'Res Std'} 0.1671 0.15039 0.18567 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 19.203 1 201 1.8923e-05 {'Condition' } 4.321 6 201 0.00040067 ============================================================ Feature: edasymp_mean.csv Reference condition: EC ============================================================ LME MODEL OUTPUT: Linear mixed-effects model fit by ML Model information: Number of observations 208 Fixed effects coefficients 7 Random effects coefficients 31 Covariance parameters 2 Formula: Value ~ 1 + Condition + (1 | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance 829.9 859.94 -405.95 811.9 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } -5.3962 0.34031 -15.857 201 2.9062e-37 -6.0672 -4.7251 {'Condition_EO' } 0.5555 0.38921 1.4272 201 0.15506 -0.21196 1.323 {'Condition_C' } 0.41674 0.38964 1.0696 201 0.2861 -0.35157 1.185 {'Condition_LK' } 1.1178 0.38964 2.8688 201 0.00456 0.3495 1.8861 {'Condition_E' } 0.87146 0.38964 2.2366 201 0.026413 0.10315 1.6398 {'Condition_EC-2'} 0.069518 0.39352 0.17666 201 0.85996 -0.70644 0.84548 {'Condition_EO-2'} 0.91396 0.39757 2.2989 201 0.02254 0.13002 1.6979 Random effects covariance parameters (95% CIs): Group: Subject (31 Levels) Name1 Name2 Type Estimate Lower Upper {'(Intercept)'} {'(Intercept)'} {'std'} 1.1338 0.81909 1.5693 Group: Error Name Estimate Lower Upper {'Res Std'} 1.5181 1.3675 1.6854 ANOVA OUTPUT: ANOVA marginal tests: DFMethod = 'Residual' Term FStat DF1 DF2 pValue {'(Intercept)'} 251.44 1 201 2.9062e-37 {'Condition' } 2.3838 6 201 0.030165