New regression on discrete dataset – Correction

Original post is here. I have changed the order of \(\beta_n\) coefficients.

New regression on original dataset - Correction

Original post is here.

New regression on discrete dataset

Continuing with the new regression model. Now it's the discrete dataset.

New regression on original dataset

It works for the original dataset pretty well. Here's what comes out:

New regression equation for LeapArticulator experiments

I have just discovered a better model for participants scores in the experiment. This used to be our prime model: ```prettyprint model <- lmer(score ~ nstates_amp_and_freq_n + (1 | id) + (1 |condition:phase) , data=all, REML=F) ``` I have discovered the following one outperforms this for both the original and the discrete datasets, and is much easier to interpret: ```prettyprint model <- lmer(score ~ nstates_amp_and_freq_n:phase_order:phase + (1|id), data=all, REML=F) ``` Of course, we are using MCMC samples, so the model declaration becomes: