Welcome to staRt, the introductory R Cookbook.

I am Monsieur Gustave H, your concierge. On this corner of the internet I am storing for my own future reference random tidbits, and the occasional whole recipe, about data science and statistics using the programming language R in the R Studio environment. There will be the occasional topic on metascience as well.

For complete treatments of the various topics, I refer frequently to my favorite stats books. If you are to only ever read *one* book about stats *reasoning* (no math), pick up Spiegelhalter: The Art of Statistics. For second course, go with Reinhart: Statistics Done Wrong. Then come the following:

- Baguley: Serious Stats
- James: ISL, An Introduction to Statistical Learning. This is a spectacular book from Stanford, available to download as a free pdf.
- Harrell: RMS, Regression Modelling Strategies (2
^{nd}ed) - Agresti: Categorical Data Analysis (3
^{rd}ed) (or download the previous edition, free) - Crowley: The R Book (the book’s datasets)
- Cohen: Applied Multiple Regression / Correlation Analysis for the Behavioral Sciences (3
^{rd}ed) - Dalgard: ISR, Introductory Statistics with R (2
^{nd}ed) - McDonald: Handbook of Biological Statistics (3
^{rd}ed) (pdf)

Cookbooks recommended by this cookbook:

A few blogs:

- Tal Galili’s aggregator: R-bloggers. I am checking this one regularly.
- Jeff Blume
- Frank Harrell