Statistical Analysis with R for Dummies

by Joseph Schmuller

Understanding the world of R programming and analysis has never been easier

Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses—as well as step-by-step guidance that shows you exactly how to implement them using R programming.

People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few commands, making sophisticated analyses available and understandable to a wide audience. Statistical Analysis with R For Dummies enables you to perform these analyses and to fully understand their implications and results.

Gets you up to speed on the #1 analytics/data science software tool Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling Shows you how R offers intel from leading researchers in data science, free of charge Provides information on using R Studio to work with R

Get ready to use R to crunch and analyze your data—the fast and easy way!

Genres: Nonfiction, Technical, Technology

432 pages, Kindle Edition

Published March 3, 2017

Reviews

[Ben · Rating 4 out of 5]

Statistical Analysis With R

This is a great book to learn everything you need to get started and excel with R.

As someone who has done lots and lots of work in data analysis with Python, I have only tinkered with R a bit. So I am very glad to have got this book to learn and play around with the powerful R.

I already use Power BI and Tableau too, so R fits nicely with my extensive Python knowledge and Power BI & Tableau.

Definitely something to check out if you are in data / statistical analysis.

4.6/5

[Eduardo · Rating 4 out of 5]

I also wrote a blog post that is a little more about me reading the book than it is about the book. You can read that here if you are so inclined.

I felt that Schmuller did what he said he would do in the introduction. He gave us a book that isn't a statistics textbook but has some good basic descriptions of important statistical concepts. He didn't give us an R manual but there are plenty of R code snippets that are well-explained and easily modified to fit the reader's own needs. I never felt bogged down in equations or in code but I came away feeling like I better understood each at least a little bit.

I have taken some college-level statistics courses and I have learned to code in R so I did not rely on this book to get me started in either area, which I think made the book much more accessible and useful. I recommend learning some basics first rather than relying only on this book for those nuts and bolts. As a result of this small foundation that I had already built, the book became a guide to transition me from basic thoughts about data analysis into slightly deeper applications within my area of interest/expertise. This book is definitely a kind of gateway drug for me in this realm.

[Kevin Roche · Rating 3 out of 5]

A book that acts as a good bridge between the contents of Statistics For Dummies, 2nd Edition (For Dummies (Lifestyle)) and R for Dummies, 2nd Edition. The former provides pretty good coverage of statistics applicable to most non-professional use whilst the latter is a good intro to the R programming language with some chapters on statistical uses. This book goes a little more in depth into the statistical analysis usage of the R programming language and introduces a number of new R packages for this purpose, as well as covering the base functionality applicable to some of these problems.
The main benefit of this book is its fairly deep coverage of graphing for which it mainly concentrates on the base R packages and the extensive Grammar of Graphics ggplot2 tools. For this alone this is an essential addition.

[Alexander Whyte · Rating 2 out of 5]

The problem with this book is that it covers statistics in terms that are aimed at complete beginners, but not in enough depth for a complete beginner to really understand the content (beyond a basic level). I think it is most suitable for people that have some statistical background, but no background in R. So I think it would be better if it was written in a way that assumed more knowledge of statistics (but maybe that would defeat the point of it being a 'for dummies' book?). Overall, it did help me learn how to use R however.

It is written nicely too - it could easily have been very 'dry', but it wasn't.

[bks · Rating 3 out of 5]

Love this book! Perfect with people who have ZERO previous background in programming. It literally guides you through step by step.