I worked through think stats a couple of years ago. But I was lost on where to go next. It seems like there’s a gap between textbook and working world stats.
I wanted things like design of experiments and hierarchical bayes methods, logistic regressions, and other somewhat advanced topics, and most of the things I found were poorly written R documentation. Which from a development perspective is too much effort to grok, read papers, and then port the code to python.
It really sucks that R is the go to for so much when deploying R in a production environment is a pain or not possible.
I wanted things like design of experiments and hierarchical bayes methods, logistic regressions, and other somewhat advanced topics, and most of the things I found were poorly written R documentation. Which from a development perspective is too much effort to grok, read papers, and then port the code to python.
It really sucks that R is the go to for so much when deploying R in a production environment is a pain or not possible.