Abstract
In the previous chapter, we introduced R and how to start using R programming to analyze data. In this chapter, we further explain some of the important concepts required for data analysis, including reading various types of data files, storing data, and manipulating data. We also discuss how to create your own functions and R packages. After reading this chapter, you will have a good introduction to R and can get started with data analysis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Dr. Umesh R. Hodeghatta and Umesha Nayak
About this chapter
Cite this chapter
Hodeghatta, U.R., Nayak, U. (2017). R for Data Analysis. In: Business Analytics Using R - A Practical Approach. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2514-1_3
Download citation
DOI: https://doi.org/10.1007/978-1-4842-2514-1_3
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-2513-4
Online ISBN: 978-1-4842-2514-1
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)