Statistical Analysis with R For Dummies (For Dummies (Computer/Tech))

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.

This is really well written and easy to read. Very helpful re-introduction after not taking stats for a few years!

The book has a noble goal of teaching statistical analysis with R programming. The book nicely demonstrates the graphing capabilities of the software. The statistics reviewed are normal distribution, basic z-tests, t-tests, , regression, and some probability. I am not sure that this is a good book for beginning reader who is learning statistics or for someone starting to learn R. More excercises, databases, and simpler code are needed for the text to be a useful to a beginner. I had some problems with the code as written on page 151. If I moved the geom_segment code to right after the geom_line code I stopped getting error messages in the console. I might add be very careful with all the + signs and their location in the arguments for ggplot for this code sample. If the reader selectively reads through the codes and examples there are many valuable techniques, functions, and graphing to be learned with this text. I found the graphing of the distributions of degrees of freedom for t very helpful.

This book explained complex statistical concepts with many examples using R. I had studied statistics at an engineering university and now I finally can spend my time formulating the problems instead of working them out on my scientific calculator.

Loved this book. Helped my survive a grad school level course.

Good source of basic information.

If you've taken any basic intro stats course, in combination with even learning a little R- this book will be WAY too simple for you. I was hoping for modeling building, but it barely touches on that (and not until the end). If you have no understanding of R, and little statistical training, this book will probably be perfect for your purposes.

I took a lot of statistics classesThis was good.