R for statistics / Pierre-AndreÌïrnillon ... [et al.].
Material type:
- 9781138469341
- 1439881456 (pbk.)
- Statistiques avec R. English.
- QA276.45.R3 S7413 2012
Item type | Current library | Call number | Status | Date due | Barcode | |
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Books - Printed | PERPUSTAKAAN GUNASAMA HAB PENDIDIKAN TINGGI PAGOH Main Library General | QA276.45.R3 S7413 2012 (Browse shelf(Opens below)) | Available | 0000002307 |
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QA276.45.R3 K44 2018 Texts in statistical science : graphics for statistics and data analysis with R / | QA276.45.R3 L36 2015 Machine learning with R : discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R / | QA276.45.R3 N65 2015 Data science in R : a case studies approach to computational reasoning and problem solving / | QA276.45.R3 S7413 2012 R for statistics / | QA276.45.R3 W53 2019 QA276.45.R3 .W53 2019 Advanced R / | QA276.45.S27 .P32 2011 Practical statistical methods : a SAS programming approach / | QA276.45.S8 .P48 2009 The stata survival manual / |
"Foreword This book is the English adaptation of the second edition of the book "Statistiques avec R" which was published in 2008 and was a great success in the French-speaking world. In this version, a number of worked examples have been supplemented and new examples have been added. We hope that readers will enjoy using this book for reference when working with R. This book is aimed at statisticians in the widest sense, that is to say, all those working with datasets: science students, biologists, economists, etc. All statistical studies depend on vast quantities of information, and computerised tools are therefore becoming more and more essential. There are currently a wide variety of software packages which meet these requirements. Here we have opted for R, which has the triple advantage of being free, comprehensive, and its use is booming. However, no prior experience of the software is required. This work aims to be accessible and useful both for novices and experts alike. This book is organised into two main sections: the rst part focuses on the R software and the way it works, and the second on the implementation of traditional statistical methods with R. In order to render them as independent as possible, a brief chapter o ers extra help getting started (chapter 5, a Quick Start with R) and acts as a transition: it will help those readers who are more interested in statistics than in software to be operational more quickly"-- Provided by publisher.
Includes bibliographical references and indexes.
Translated from the French.
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