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First of all, this is NOT a good book to learn R if you are a beginner. It assumes a basic knowledge of R but still goes through a lot of the basics. It does not attempt to teach a broad coverage of the language. For example, it has nothing on flow control, which makes sense since this deals with the statistical packages already in R so it doesn’t cover how to actually write your own programs in R(if you want to do that, “R For Dummies” is an excellent introduction). So, this book sticks to what it is advertised to do: statistics. Does it cover an enormous amount of topics? No, after all, statistics is very vast. It covers such things as linear models, one and two way anova and contrasts in anova, for example. It doesn’t cover topics in psychometry(which R can handle very nicely), like Cronbach’s Alpha. So, this book is not encyclopedic, but you can see what it covers and what it doesn’t before you buy it. No one source is going to give you everything in the R language. This book is an excellent source for what it does cover. Don’t assume that just because it is part of the “For Dummies” series that it is super basic. There are many detailed, intricate books in the series. The series also includes many other books on R so, you might consider starting a collection!
One other good point with this book: it is very recent so it includes the use of R Studio(as well as how to install it) which makes using R a bit more pleasant.
Statistical Analysis With R For Dummies Pdf Free Download
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.
About the Author
Joseph Schmuller, PhD, has taught undergraduate and graduate statistics, and has 25 years of IT experience. The author of four editions of Statistical Analysis with Excel For Dummies and three editions of Teach Yourself UML in 24 Hours (SAMS), he has created online coursework for Lynda.com and is a former Editor in Chief of PC AI magazine. He is a Research Scholar at the University of North Florida.