The R software : fundamentals of programming and statistical analysis
"The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a textbook on R for beginners as well...
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| Main Authors: | , , |
|---|---|
| Format: | Livre numérique |
| Language: | Anglais |
| Published: |
New York :
Springer : Springer e-books : Imprint: Springer : Springer e-books
[20..].
Cham : Springer Nature |
| Series: | Statistics and Computing
40 |
| Subjects: | |
| Online Access: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • The R software, fundamentals of programming and statistical analysis, Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet, 2013, New York, Springer, 1 vol. (XXXVII-628 p.), Statistics and computing, 978-1-4614-9019-7 |
Table of Contents:
- Foreward Basic Concepts and Data Organisation Importing, Exporting and Producing Data Data Manipulation, Functions R and its Documentation Drawing Curves and Plots Programming in R Managing Sessions Basic Mathematics Descriptive Statistics A Better Understanding of Random Variables Confidence Intervals and Hypothesis Testing Simple and Multiple Linear Regression Elementary Analysis of Variance Installing R and R Packages References Indices Solutions