Pairing Regression Model and R Programming

Pairing Regression Model and R Programming

ISBN13: 9781799883432|ISBN10: 1799883434|EISBN13: 9781799883449
DOI: 10.4018/978-1-7998-8343-2.ch009
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MLA

Abraham Varghese, et al. "Pairing Regression Model and R Programming." Controlling Epidemics With Mathematical and Machine Learning Models, IGI Global, 2023, pp.207-215. https://doi.org/10.4018/978-1-7998-8343-2.ch009

APA

A. Varghese, E. Lacap, Jr., I. Sajath, M. Kumar, & S. Kolamban (2023). Pairing Regression Model and R Programming. IGI Global. https://doi.org/10.4018/978-1-7998-8343-2.ch009

Chicago

Abraham Varghese, et al. "Pairing Regression Model and R Programming." In Controlling Epidemics With Mathematical and Machine Learning Models. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-7998-8343-2.ch009

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Abstract

This chapter provides an overview of the popularity of linear regression in medical research. In particular, the implementation of R programming in executing regression analysis was given emphasis using RStudio as the integrated development environment. Importing dataset and consequent exploratory data analysis were also presented in this chapter. In addition, the use of the most popular visualization package in R was also demonstrated. At the very least, this chapter encapsulates the whole process of regression analysis from data ingestion, visualization, model building, and model testing. Software and packages used in this chapter were all free and open-source, which ensures that the implemented codes will be reproduceable.

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