R Cookbook (O'Reilly Cookbooks) by Paul Teetor
R Cookbook (O'Reilly Cookbooks) Paul Teetor ebook
Publisher: O'Reilly Media
ISBN: 0596809158, 9780596809157
O'Reilly seems to be the go-to publisher right now for all of the data resources, with a whole host of useful books that I have personally been diving into to get my own skills up to speed. This cookbook-style book is actually excerpts from Teetor's larger R Cookbook. R Cookbook offers a collection of concise recipes that will help you be productive with R immediately. Over 70 simple but incredibly effective recipes for taking control of automated testing using powerful Python . * Head First Data Analysis: A Learner's Guide to Big 25 Recipes for Getting Started with R (Paul Teetor). True to the O'Reilly cookbook format, this book is written in a pleasant, conversational format, easy to leaf through or read in depth as needed. R is a powerful tool for statistics, graphics, and statistical programming. There is a 2nd edition covering Python 2.3 & 2.4 with many new and updated recipes: 0596007973. For beginners and experienced computer geeks alike. Following up on the successful "R in a Nutshell", O'Reilly has just published a new book on R, The R Cookbook, by Paul Teetor. I haven't gotten to his more comprehensive book yet, but the 25 Recipes offers a nice taste of getting started with R. It is used by tens of thousands of people daily to perform serious statistical analyses. The cookbook shuold contain Emacs Lisp programming recipes presented in a special Problem/Solution/Discussion format, just as the O'Reilly? ISBN 13: 978-1-84951-466-8 Packt Publishing 380 pages (May 2011). Here's the description: Perform data analysis with R quickly and efficiently using the task-oriented recipes in this cookbook. It is useful as a "how do I do that?" reference and also as a way to learn Python idioms and tricks. I've been a fan of the O'Reilly Cookbooks in the past and have found valuable info in both their ActionScript 3.0 Cookbook and Flex 3 Cookbook.
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