R for Statistics
1st Edition
Published on 21. March 2012
320 pages
978-1-040-05635-6 (ISBN)
Description
Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics in
Reviews / Votes
Section 4.2 on the apply family of functions and related functions for matrices, arrays, and data frames is by far the most friendly and helpful introduction to the subject that I have seen. ... All datasets, along with the R-code in the book, are available on the website for the text. ... If you are not a trained programmer but you aspire to write code that is efficient and perhaps, from time to time, clever, then this book is a fine place for you to start learning R.-Homer S. White, MAA Reviews, January 2013
[T]he book is accessible for statisticians of all levels and areas of expertise as well as for novice and advanced R users. ... I recommend it for anyone who wants to learn about the why and how of the most commonly employed statistical methods and their extensions.
-Irina Kukuyeva, Journal of Statistical Software, Vol. 51, November 2012
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
ISBN-13
978-1-040-05635-6 (9781040056356)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Pierre-Andre Cornillon | Arnaud Guyader | Francois Husson
R for Statistics
Book
09/2017
1st Edition
CRC Press
€289.96
Shipment within 10-20 days
Pierre-Andre Cornillon | Arnaud Guyader | Francois Husson
R for Statistics
Book
03/2012
1st Edition
Chapman & Hall/CRC
€86.10
Shipment within 15-20 days
Persons
Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, ric Matzner-Lober, Laurent Rouviere
Content
An Overview of R: Main Concepts. Preparing Data. R Graphics. Making Programs with R. Statistical Methods: Introduction to the Statistical Methods. A Quick Start with RHypothesis Test. Regression. Analysis of Variance and Covariance. ClassificationExploratory Multivariate Analysis. Clustering. Appendix.
