| Parametric Coefficients . | Estimate . | Std. Error . | t Value . | p Value . |
|---|---|---|---|---|
| (Intercept) | −0.0040 | 0.0074 | −0.5389 | .5900 |
| Smooth Terms . | edf . | Ref.df . | F value . | p Value . |
| s(FOJ) | 1.0000 | 1.0001 | 0.1091 | .7412 |
| s(SOJ) | 1.0000 | 1.0001 | 27.6527 | <.0001* |
| s(SOJ accuracy) | 1.0000 | 1.0001 | 4.4611 | .0347 |
| ti(SOJ × FOJ) | 2.0365 | 2.5519 | 1.3882 | .2115 |
| ti(FOJ × SOJ Accuracy) | 1.0077 | 1.0153 | 1.0731 | .2974 |
| s(participant) | 0.0003 | 11.0000 | 0.0000 | .9815 |
| GAMM analysis: R2-locked readiness potential, posterior cluster | ||||
| Parametric Coefficients . | Estimate . | Std. Error . | t Value . | p Value . |
|---|---|---|---|---|
| (Intercept) | −0.0040 | 0.0074 | −0.5389 | .5900 |
| Smooth Terms . | edf . | Ref.df . | F value . | p Value . |
| s(FOJ) | 1.0000 | 1.0001 | 0.1091 | .7412 |
| s(SOJ) | 1.0000 | 1.0001 | 27.6527 | <.0001* |
| s(SOJ accuracy) | 1.0000 | 1.0001 | 4.4611 | .0347 |
| ti(SOJ × FOJ) | 2.0365 | 2.5519 | 1.3882 | .2115 |
| ti(FOJ × SOJ Accuracy) | 1.0077 | 1.0153 | 1.0731 | .2974 |
| s(participant) | 0.0003 | 11.0000 | 0.0000 | .9815 |
| GAMM analysis: R2-locked readiness potential, posterior cluster | ||||
The table displays the results for the final model that was based on the data collapsed across the significant sensors, showing the main effect of SOJ, when the model was fitted on a per-sensor basis. The table depicts the posterior cluster.
The asterisk signifies the factors that were significant after false discovery rate correction, applied after the same model was fitted for every sensor separately.