Implementing reproducible research:
Saved in:
| Other Authors: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton [u.a.]
CRC Press
2020
|
| Edition: | First issued in paperback |
| Series: | A Chapman & Hall book
The R series |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | XIX, 428 Seiten Illustrationen, Diagramme |
| ISBN: | 9780367576172 9781466561595 |
Staff View
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Contents Preface.vii Acknowledgment. xiii Editors. xv Contributors. xvii Part I Tools 1. knitr: A Comprehensive Tool for Reproducible Research in R.3 Yihui Xie 2. Reproducibility Using VisTrails.33 Juliana Freire, David Koop, Fernando Chirigati, and Claudio T. Silva 3. Sumatra: A Toolkit for Reproducible Research. 57 Andrew P. Davison, Michele Mattiani, Dmitry Samarkanov, and Bartosz Teleńczuk 4. CDE: Automatically Package and Reproduce Computational Experiments.79 Philip J. Guo 5. Reproducible Physical Science and the Declaratron.113 Peter Murray-Rust and Dave Murray-Rust Part II 6. Practices and Guidelines Developing Open-Source Scientific Practice.149 K. Jarrod Millman and Fernando Pérez 7. Reproducible Bioinformatics Research for Biologists. 185 Likit Preeyanon, Alexis Black Pyrkosz, and C. Titus Brown 8. Reproducible Research for Large-Scale Data Analysis. 219 Holger Hoefling and Anthony Rossini
v
vi Contents 9. Practicing Open Science. 241 Luis Ibanez, William J. Schroeder, and Marcus D. Hanwell 10. Reproducibility, Virtual Appliances, and Cloud Computing.281 Bill Howe 11. The Reproducibility Project: A Model of Large-Scale Collaboration for Empirical Research on Reproducibility. 299 Open Science Collaboration 12. What Computational Scientists Need to Know about Intellectual Property Law: A Primer.325 Victoria Stodden Part III Platforms 13. Open Science in Machine Learning. 343 Mikio L. Braun and Cheng Soon Ong 14. RunMyCode.org: A Research-Reproducibility Tool for Computational Sciences. 367 Christophe Hurlin, Christophe Pérignon, and Victoria Stodden 15. Open Science and the Role of Publishers in Reproducible Research. 383 Iain Hrynaszkiewicz, Peter Li, and Scott Edmunds Index. 419 |
| adam_txt |
Contents Preface.vii Acknowledgment. xiii Editors. xv Contributors. xvii Part I Tools 1. knitr: A Comprehensive Tool for Reproducible Research in R.3 Yihui Xie 2. Reproducibility Using VisTrails.33 Juliana Freire, David Koop, Fernando Chirigati, and Claudio T. Silva 3. Sumatra: A Toolkit for Reproducible Research. 57 Andrew P. Davison, Michele Mattiani, Dmitry Samarkanov, and Bartosz Teleńczuk 4. CDE: Automatically Package and Reproduce Computational Experiments.79 Philip J. Guo 5. Reproducible Physical Science and the Declaratron.113 Peter Murray-Rust and Dave Murray-Rust Part II 6. Practices and Guidelines Developing Open-Source Scientific Practice.149 K. Jarrod Millman and Fernando Pérez 7. Reproducible Bioinformatics Research for Biologists. 185 Likit Preeyanon, Alexis Black Pyrkosz, and C. Titus Brown 8. Reproducible Research for Large-Scale Data Analysis. 219 Holger Hoefling and Anthony Rossini
v
vi Contents 9. Practicing Open Science. 241 Luis Ibanez, William J. Schroeder, and Marcus D. Hanwell 10. Reproducibility, Virtual Appliances, and Cloud Computing.281 Bill Howe 11. The Reproducibility Project: A Model of Large-Scale Collaboration for Empirical Research on Reproducibility. 299 Open Science Collaboration 12. What Computational Scientists Need to Know about Intellectual Property Law: A Primer.325 Victoria Stodden Part III Platforms 13. Open Science in Machine Learning. 343 Mikio L. Braun and Cheng Soon Ong 14. RunMyCode.org: A Research-Reproducibility Tool for Computational Sciences. 367 Christophe Hurlin, Christophe Pérignon, and Victoria Stodden 15. Open Science and the Role of Publishers in Reproducible Research. 383 Iain Hrynaszkiewicz, Peter Li, and Scott Edmunds Index. 419 |
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| topic_facet | Open Source Open Science Forschung Statistik |
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