How to use the R software

Mestiri, Sami (2019): How to use the R software.

Abstract

R is a language and software that allows statistical analysis. It includes means that make it possible to manipulate data, calculations and graphical representations. It provides a wide variety of statistical tools (modeling, statistical testing, time series analysis, classification problems, machine learning, ...) Nowadays, there is no doubt that it is the software par excellence in statistical courses for any level, for theoretical and applied subjects alike. The goal of this paper is helping to start using the statistical software R. We will cover its benefits, show how to get started and will make interesting recommendations for using R, according to my experience .

• Item Type: MPRA Paper
• Language: English
• Keywords: R software, Statistical analysis, Control Structures.
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General; C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C88 - Other Computer Software

References

The R Project for Statistical Computing. Available online: https://www.r-project.org

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The R Graph Gallery. Available online: https://r-graph-gallery.com

Available Packages. Available online: https://cran.r-project.org/web/packages/

R AnalyticFlow: Designed for data analysis. Great for everyone. Available online: https://r.analyticflow. com/en/

Williams, G. Rattle (2009) A Data Mining GUI for R. \textit{The R Journal}, 1(2), 45-55.

Fox, J.(2017) Using the R Commander: A Point-and-Click Interface for R, 1st ed.; Chapman and Hall/CRC Press: BocaRaton, FL.

Mestiri, S. (2023). Initiation à l'utilisation du logiciel R \textit{Éditions universitaires européennes}.DOI: 10.13140/RG.2.2.16938.08641/1

Mestiri, S. (2019). Statistical tests using R Software University of Monastir Press. DOI: 10.13140/RG.2.2.29300.50566

Wickham, H.;Golemund, G.(2017) R for Data Science: Import, Tidy Transform, Visualize, and Model Data, 1st ed.; O’Reilly Media: Sebastopol, CA, .

Tucker, Mary C.;Shaw, Stacy T.; Son, Ji Y. and Stigler, James W. (2022,) Teaching Statistics and Data Analysis with R. Journal of Statistics and Data Science Education