25 Recipes for Getting Started with R: Excerpts from the R Cookbook

by Paul Teetor

R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression. You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's , which contains more than 200 recipes for R that you'll find useful once you move beyond the basics.

62 pages, Paperback

First published January 1, 2011

Reviews

[Colle Owino · Rating 5 out of 5]

Precise, clear and to the point. The author mentions that he has many other recipes in another cookbook and I believe that makes this brief enough to accomplish its mission. Although some parts require that you really understand the statistical methods being employed. It is largely approachable and I would recommend it to anyone starting out.

[Rob · Rating 3 out of 5]

Helpful for giving you an idea of what can be done with R and the mechanics of doing it. As described by the author, it is *not* a tutorial on R nor on statistics, but rather a desktop manual for the beginner who knows R and stats, and is trying to remember how to do something.

[Otto Hammersmith · Rating 3 out of 5]

Should have waited for the full book to come out, or gotten the Rough Cuts version and read that. This has some useful information, but about half the recipes you could gather from simple googling of the subject.

[Fizal · Rating 2 out of 5]

It was an ok book to get a quick overview on R. It expects the reader to have some statistical background like confidence interval for a mean/proportion, etc. This is not good book to start learning R.

[Janardan Misra · Rating 3 out of 5]

Nice collection of useful tips on R language.

[Sefa]

Given the aim of the book and therefore its length, it is good enough to give an idea what you can do with R.