R for Statistics

List of contents

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.

About the author

Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, ric Matzner-Lober, Laurent Rouvière

Summary

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

Product details

• Authors: Pierre-Andre Cornillon, Pierre-Andre Guyader Cornillon, Cornillon Pierre-Andre, Arnaud Guyader, Guyader Arnaud, Francois Husson, Husson Francois, Nicolas Jegou, Jegou Nicolas, Julie Josse, Josse Julie, Maela Kloareg, Kloareg Maela, Eric Matzner-Lober, Matzner-Lober Eric, Laurent Rouvière
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 31.12.2017
• EAN: 9781138469341
• ISBN: 978-1-138-46934-1
• No. of pages: 320
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics