Book chapter
Putting the R in CER: How the Statistical Program R Transforms Research Capabilities
Computer-Aided Data Analysis in Chemical Education Research (CADACER) : Advances and Avenues, pp.65-90
American Chemical Society
2017
DOI: 10.1021/bk-2017-1260.ch006
Abstract
When researchers employ quantitative methods in their investigations, they have the choice of many programs to conduct their analyses. In this chapter, we argue that the statistical programming language called R demonstrates the greatest utility in these analyses. R is capable of conducting one of the largest varieties of statistical techniques compared to other programs and has the potential to transform how researchers analyze their data. Throughout the chapter, we will discuss the significant benefits of using R to more efficiently and effectively analyze data by re-conceptualizing data visualizations, defining custom functions, writing programmatic loops, and enhancing reproducibility and documentation.
Details
- Title: Subtitle
- Putting the R in CER: How the Statistical Program R Transforms Research Capabilities
- Creators
- Jordan Harshman - Miami UniversityEllen Yezierski - Miami UniversitySara Nielsen - Miami University
- Resource Type
- Book chapter
- Publication Details
- Computer-Aided Data Analysis in Chemical Education Research (CADACER) : Advances and Avenues, pp.65-90
- DOI
- 10.1021/bk-2017-1260.ch006
- eISSN
- 1947-5918
- ISSN
- 1947-5918
- Publisher
- American Chemical Society; Washington, DC
- Language
- English
- Date published
- 2017
- Academic Unit
- Chemistry
- Record Identifier
- 9984934670102771
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