Traitement et Analyse de Données avec le Langage R

Keita, Moussa (2017): Traitement et Analyse de Données avec le Langage R.

Abstract

To date, Open-source softwares are gradually emerging as credible alternatives to "owners" softwares in the field of management of voluminous data. Among this panoply of free softwares, there is R, a software that can be considered both as a pure programming software but also as a data processing and statistical data analysis tools. This manuscript aims to introduce the R language in an approach exclusively based on practical examples. The document is organized into five chapters. The first chapter introduces the basic concepts of programming with the R language. The second chapter presents the various data processing and data organization methods. The third chapter is devoted to the implementation of classical statistical and econometric analyses methods. The fourth chapter is dedicated to the presentation of data visualization methods in R. The final chapter presents the methods of time series analysis including seasonal adjustment methods, linear smoothing, exponentials smoothing but also the modeling and forecasts by stochastic methods (AR, MA, ARMA, ARIMA and SARIMA).

• Item Type: MPRA Paper
• English Title: Data Processing and Analysis with R Language
• Language: French
• Keywords: Programmation, langage R, traitement de données, analyses de données, data visualization.
• Subjects: C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs

References

Aragon Yves,(2011), Séries temporelles avec R :Méthodes et cas, Springer-Verlag France – Pratique R – 2011

Chambers, J. M. (2008), Software for Data Analysis: Programming with R, Springer, ISBN 978-0-38775935-7.

Chang, W. (2013). R graphics cookbook. O’Reilly Media, Incorporated.

Dutang, C., V. Goulet et M. Pigeon. (2008), «actuar: An R package for actuarial science», Journal of Statistical Software, vol. 25, no 7. URL http://www. jstatsoft.org/v25/i07.

Farnsworth, G. V. (2008). Econometrics in R. Consulté sur http://cran.r-project.org/ doc/contrib/Farnsworth-EconometricsInR.pdf

Gallic Ewen, (2015), Logiciel R et programmation, l’Université de Rennes 1.

Goulet Vincent,(2016), Introduction à la programmation en R, 5ième édition, ISBN 978-2-9811416-6-8, Dépôt légal – Bibliothèque et Archives nationales du Québec, 2016

Hornik, K. (2013), « The R FAQ », URL http://cran.r-project.org/doc/FAQ/R-FAQ.html.

Iacus, S. M., S. Urbanek, R. J. Goedman et B. D. Ripley. (2013), « R for Mac OS XFAQ », URL http://cran.r-project.org/bin/macosx/RMacOSX-FAQ.html.

Ihaka, R. et R. Gentleman. (1996), «R: A language for data analysis and graphics», Journal of Computational and Graphical Statistics, vol. 5, no 3, p. 299–314.

Lafaye de Micheaux, P., Drouilhet, R., & Liquet, B. (2011). Le logiciel R : Maîtriser le langage - effectuer des analyses statistiques. Springer.

Paradis, E. (2002). R pour les débutants. Consulté sur http://cran.r-project.org/doc/contrib/Paradis-rdebuts_fr.pdf

Sanchez, G. (2013). Handling and processing strings in R. Berkeley : Trowchez Editions. Consulté sur http://gastonsanchez.com/Handling_and_Processing_Strings_in_R.pdf

Wickham, H. (2009). ggplot2 : Elegant graphics for data analysis. Springer.