R

In the latest episode of the ‘Learning Bayesian Statistics’ podcast, we talk about R, Python, Reality Bending and more!

Including data analysis as Supplementary Materials can be a tedious task. How can we simplify the sharing of our work? So that it can be fully appreciated, as well as evaluated, improved, worked on, in a transparent and open way?

We compare different methods (individual models, Bayesian models with informative priors, random effects from mixed models) to extract individual scores from repeated measures tasks.

Most psychology students or researchers are faced with the challenge of learning a programming language. Which one should you pick?

Most researchers use the normal distribution to model reaction times, but it’s wrong! Discover how to perform a good analysis of RT data.

The one where I discuss arguments in favour of 95% instead of alternatives like 90 or 89%.

A gentle introduction to Bayesian statistics with R for people not familiar with any of these.