## 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: