Description

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.

Reviews

On Mar 30 Eder Andres Avila Nino wrote: Useful R for Statistical Courses
This is a book about how to use the R programming language to solve several statistical problems like combinations, probabilities, frequencies, quantiles, means, correlations, regressions and ANOVA analysis, and as a plus, time series analysis. Full Review  >

Rating: 4.0

On Jul 6 Steven Jenkins wrote:
Full Review  >

Rating: 5.0

On Apr 22 Kiatikun Luangkesorn wrote: Book Review: R Cookbook by Paul Teetor
R Cookbook by Paul TeetorMy rating: 4 of 5 starsA part of the cookbook series is expected to provide a multitude of examples of useful tasks. The R Cookbook does this, but also more. This provides more, teaching about R beyond what reference books and most tutorials.One weakness of R… Full Review  >

Rating: 4.0

On Apr 19 Shawn Day wrote: R Recipes: A Cookbook For Data Analysis and Visualisation
The R Cookbook by Paul Teetor is a solid addition to the well respected series. It provides a rich collection of useful examples written in the proven method The book is targeted at a wide audience from R novice eager to just start playing in R to more experienced practitioners looking to hone and round out their R repertoire. Highly recommended. Full Review  >

Rating: 5.0

On Apr 6 John Brady wrote: R Cookbook
The R Cookbook should be on your bookshelf if you work with R. The book is as self-described, a collection of tasks and how to accomplish those tasks in R (recipes). This is not a tutorial on language, but is definitely recommended for novices. Full Review  >

Rating: 5.0

On Mar 30 Michal Konrad Owsiak wrote: Simple, yet powerful
Simply put, one of the best R starters around. What you get here are recipes for most common problems you will face while working with R. Full Review  >

Rating: 5.0