R for statistics and data science.

Authors
  • JEGOU Nicolas
  • KLUTCHNIKOFF Nicolas
  • ROUVIERE Laurent
  • HUSSON Francois
  • CORNILLON Pierre andre
  • GUYADER Arnaud
Publication date
2018
Publication type
book
Summary The 4th cover states: "R software is an essential tool for statistics, data visualization, and data science in both the academic and corporate worlds. This can be explained by its three main qualities: it is free, very complete and constantly growing. Recently, it has been able to adapt itself to enter the era of big data and to allow the collection and processing of heterogeneous and very large data (from the Web, textual data, etc.). This book is divided into two main parts: the first part focuses on how the R software works, while the second part implements some thirty statistical methods through data sheets. These sheets are each based on a concrete example and cover a wide range of techniques for processing data. This book is intended for beginners as well as for regular users of R. It will enable them to quickly produce graphs and simple or elaborate statistical treatments.
Publisher
Presses universitaires de Rennes
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