Getting Started with R for Education Research
Abstract
The R programming language has become a popular tool for conducting data analysis in the field of learning analytics. This chapter provides an introduction to the basics of R programming, with a focus on the Rstudio integrated development environment and the tidyverse programming paradigm. The chapter covers topics such as data types and structures, control structures, pipes, functions, loops, and input/output operations. By the end of the chapter, readers should have a solid understanding of the basics of R programming and have the tools necessary to learn more in-depth topics such as data wrangling and basic statistics using R.
Main Authors
Format
Books
Book part
Published
2024
Subjects
Publication in research information system
Publisher
Springer
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202407125238Use this for linking
Parent publication ISBN
978-3-031-54463-7
Review status
Peer reviewed
DOI
https://doi.org/10.1007/978-3-031-54464-4_3
Language
English
Is part of publication
Learning Analytics Methods and Tutorials : A Practical Guide Using R
Citation
- Tikka, S., Kopra, J., Heinäniemi, M., López-Pernas, S., & Saqr, M. (2024). Getting Started with R for Education Research. In M. Saqr, & S. López-Pernas (Eds.), Learning Analytics Methods and Tutorials : A Practical Guide Using R (pp. 67-94). Springer. https://doi.org/10.1007/978-3-031-54464-4_3
License
Copyright© The Author(s) 2024