Some time back the animations below went sort of viral in the statistical programming community. In them, economics professor Nick Huntington-Klein demonstrates step-by-step how statistical tests estimate effect sizes.
You will find several other animations in Nick’s original blog, and the associatedtwitter thread.
Moreover, if you are interested in the R code to generate these animations, have a look at this github repository for the causalgraphs.
One thought on “Animating causal inference methods”
Super cool. Not sure I understand the methods but it appears to be some kind of regression, at least in part. I’ve been working on graphics in r but this is way more advanced than what I’m doing. Thanks for sharing!