IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/77718.html
   My bibliography  Save this paper

Traitement et Analyse de Données avec le Langage R
[Data Processing and Analysis with R Language]

Author

Listed:
  • Keita, Moussa

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).

Suggested Citation

  • Keita, Moussa, 2017. "Traitement et Analyse de Données avec le Langage R [Data Processing and Analysis with R Language]," MPRA Paper 77718, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:77718
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/77718/1/MPRA_paper_77718.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dutang, Christophe & Goulet, Vincent & Pigeon, Mathieu, 2008. "actuar: An R Package for Actuarial Science," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i07).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:jss:jstsof:35:i10 is not listed on IDEAS
    2. Anna Castañer & M.Mercè Claramunt & Maite Mármol, 2014. "Some optimization and decision problems in proportional reinsurance," UB School of Economics Working Papers 2014/310, University of Barcelona School of Economics.
    3. Denuit, Michel, 2019. "Size-biased transform and conditional mean risk sharing, with application to P2P insurance and tontines," LIDAM Discussion Papers ISBA 2019010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    4. Michael Grabchak, 2022. "Discrete Tempered Stable Distributions," Methodology and Computing in Applied Probability, Springer, vol. 24(3), pages 1877-1890, September.
    5. Denuit, Michel, 2019. "Investing in your own and peers' risks: The simple analytics of p2p insurance," LIDAM Discussion Papers ISBA 2019028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    6. Faustino Prieto & Catalina B. Garc'ia-Garc'ia & Rom'an Salmer'on G'omez, 2024. "Modelling Global Fossil CO2 Emissions with a Lognormal Distribution: A Climate Policy Tool," Papers 2403.00653, arXiv.org.
    7. Adele H. Marshall & Mariangela Zenga, 2012. "Experimenting with the Coxian Phase-Type Distribution to Uncover Suitable Fits," Methodology and Computing in Applied Probability, Springer, vol. 14(1), pages 71-86, March.
    8. Ozkok, Erengul & Streftaris, George & Waters, Howard R. & Wilkie, A. David, 2012. "Bayesian modelling of the time delay between diagnosis and settlement for Critical Illness Insurance using a Burr generalised-linear-type model," Insurance: Mathematics and Economics, Elsevier, vol. 50(2), pages 266-279.
    9. Hassan Mazengera, 2017. "Revenue-based lending for SMEs," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(02n03), pages 1-20, June.
    10. Emanuele Taufer & Flavio Santi & Pier Luigi Novi Inverardi & Giuseppe Espa & Maria Michela Dickson, 2020. "Extreme Value Index Estimation by Means of an Inequality Curve," Mathematics, MDPI, vol. 8(10), pages 1-17, October.
    11. Kobus, Paweł, 2013. "Modelling joint distribution of crop plant yields and prices with use of a copula function," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 13(28), pages 1-10, December.
    12. Devolder, Pierre, 2019. "Une alternative a la pension a points : le compte individuel pension en euros," LIDAM Discussion Papers ISBA 2019011, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    13. Avanzi, Benjamin & Taylor, Greg & Wang, Melantha & Wong, Bernard, 2021. "SynthETIC: An individual insurance claim simulator with feature control," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 296-308.
    14. K. G. Reddy & M. G. M. Khan, 2020. "stratifyR: An R Package for optimal stratification and sample allocation for univariate populations," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 62(3), pages 383-405, September.
    15. Michel Denuit & Christian Y. Robert, 2024. "Conditional Mean Risk Sharing of Independent Discrete Losses in Large Pools," Methodology and Computing in Applied Probability, Springer, vol. 26(4), pages 1-22, December.
    16. Jian Wang & Cielito C. Reyes-Gibby & Sanjay Shete, 2021. "An Approach to Analyze Longitudinal Zero-Inflated Microbiome Count Data Using Two-Stage Mixed Effects Models," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(2), pages 267-290, July.
    17. Spedicato, Giorgio Alfredo, 2013. "The lifecontingencies Package: Performing Financial and Actuarial Mathematics Calculations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 55(i10).
    18. Ekaterina Bulinskaya & Boris Shigida, 2021. "Discrete-Time Model of Company Capital Dynamics with Investment of a Certain Part of Surplus in a Non-Risky Asset for a Fixed Period," Methodology and Computing in Applied Probability, Springer, vol. 23(1), pages 103-121, March.
    19. Abu Bakar, S.A. & Hamzah, N.A. & Maghsoudi, M. & Nadarajah, S., 2015. "Modeling loss data using composite models," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 146-154.
    20. Delignette-Muller, Marie Laure & Dutang, Christophe, 2015. "fitdistrplus: An R Package for Fitting Distributions," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 64(i04).
    21. Alexandru Amărioarei & Frankie Spencer & Gefry Barad & Ana-Maria Gheorghe & Corina Iţcuş & Iris Tuşa & Ana-Maria Prelipcean & Andrei Păun & Mihaela Păun & Alfonso Rodriguez-Paton & Romică Trandafir & , 2021. "DNA-Guided Assembly for Fibril Proteins," Mathematics, MDPI, vol. 9(4), pages 1-17, February.

    More about this item

    Keywords

    Programmation; langage R; traitement de données; analyses de données; data visualization.;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:77718. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.