A Randomized Controlled Trial on the Wild Wild West of Scientific Computing with Student Learners
Author:
Affiliation:
1. University of Nevada, Las Vegas, Las Vegas, NV, USA
2. University of St Thomas, St. Paul-Minneapolis, MN, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3291279.3339421
Reference48 articles.
1. Ben Baumer Mine Cetinkaya-Rundel Andrew Bray Linda Loi and Nicholas J. Horton. 2014. R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics. arXiv:1402.1894 {stat} (Feb. 2014). arxiv: stat/1402.1894 Ben Baumer Mine Cetinkaya-Rundel Andrew Bray Linda Loi and Nicholas J. Horton. 2014. R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics. arXiv:1402.1894 {stat} (Feb. 2014). arxiv: stat/1402.1894
2. Benjamin Baumer Daniel Kaplan and Nicholas J. Horton. 2017. Modern Data Science with R .CRC Press Taylor & Francis Group CRC Press is an imprint of the Taylor & Francis Group an informa business Boca Raton. QA76.9.D343 B38 2017 Benjamin Baumer Daniel Kaplan and Nicholas J. Horton. 2017. Modern Data Science with R .CRC Press Taylor & Francis Group CRC Press is an imprint of the Taylor & Francis Group an informa business Boca Raton. QA76.9.D343 B38 2017
3. An Effective Approach to Enhancing Compiler Error Messages
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