1. R

    R is a powerful, open-source data analysis tool. It is both a programming language and a graphical computational environment. R is used by researchers, scientists, business professionals, data analysts, and others worldwide.

    R Tutorial Series

    My R Tutorial Series blog provides a collection of user-friendly guides to those who want to learn how to use R for their statistical analyses.

    R Beginner’s Guide Book

    The primary focus of Statistical Analysis with R is helping new users become accustomed to R and empowering them to apply R to suit their own needs. No prior experience with R, statistical software packages, or programming is necessary to learn from this book. It is written for a broad audience and should be well received by businesspeople, IT professionals, researchers, and students alike. Statistical Analysis with R takes readers on a journey from their first installation and launch of R, to analyzing and assessing data, to communicating and visualizing results. This guide is an excellent way to rapidly become an experienced R user and learn the skills that you need to apply R to your work.

    My beginner’s guide to statistical analysis with R is available from Packt Publishing, iTunes, and Amazon.

    2. by John M. Quick

High-Technically Correct ©John M. Quick