There are two editions from what i can see but based on the linked one Dr Kaplan spends a lot of setting up why statistical tests are needed. It combines a novel and interweaves the statistical lessons within the novel.ДЄ second book which i cannot recommend highly enough was Statistical Modeling: A Fresh Approach.

A similar book which i have not read but is more general and easier is an An Adventure in Statistics: The Reality Enigma. Its written in a light hearted way and can be read through cover to cover. The style is very accessible where each chapter really drives home the conceptual understanding before proceeding to the formulae and assumptions of statistical tests. Outside of the tidyverse statistical foundations are covered really well by Discovering Statistics Using R by Andy Field, Jeremy Miles, Zoe Field. When I was first having a look at statistics to see if i could use it for work it basically came down to what i wanted to use it for it mostly depended on the data, However I found the following books very helpful in general. Im not sure it was mentioned already but i have seen a talk at one of the R conferences that uses a package called infer which might be usefu I have seen several blog posts but nothing as in depth as a book. You could potentially wrap the stats functions in a wrapper function to return tidy data but i think broom is probably your best bet at the moment. Just throwing in my two cents if its helpful. Is there such a book? If not, what are the second best options? In other words, I'm looking for a book that explains statistics and 'how-to-do-R-things' with everything from basic stuff like measures of centre, distributions etc to advanced regression methods using a tidyverse-based approach. I have a feeling ModernDive at some point will evolve into what I'm looking for, but I need it NOW. What I've learned this far has already been tremendously helpful, however, I can't seem to find a book that actually covers statistics from A-Z using tidyverse-based methods. Long-term I'd like to use it for machine learning in medical imaging. I think they're both great and would absolutely recommended them to someone beginning with R, but the main reason I'm learning R at the moment (except for needing an excuse to learn programming) is statistics for my phd. I've read Hands on Programming with R and I'm halfway through R for Data Science. I'm new to R (and statistics), and I love reading books when I learn new stuff.

Free stats book duke