Format:
XIX, 428 S.
,
Ill., graph. Darst., Kt.
ISBN:
9781466561595
Series Statement:
A Chapman & Hall book
Note:
Includes bibliographical references and index
,
Part 1. Toolspart 2. Practices and guidelines -- part 3. Platforms.
,
Part I: Tools; Chapter 1: knitr: A Comprehensive Tool for Reproducible Research in R; Chapter 2: Reproducibility Using VisTrails; Chapter 3: Sumatra: A Toolkit for Reproducible Research; Chapter 4: CDE: Automatically Package and Reproduce Computational Experiments; Chapter 5: Reproducible Physical Science and the Declaratron; Part II: Practices and Guidelines; Chapter 6: Developing Open-Source Scientific Practice; Chapter 7: Reproducible Bioinformatics Research for Biologists Chapter 8: Reproducible Research for Large-Scale Data AnalysisChapter 9: Practicing Open Science; Chapter 10: Reproducibility, Virtual Appliances, and Cloud Computing; Chapter 11: The Reproducibility Project: A Model of Large-Scale Collaboration for Empirical Research on Reproducibility; Chapter 12: What Computational Scientists Need to Know about Intellectual Property Law: A Primer; Part III: Platforms; Chapter 13: Open Science in Machine Learning; Chapter 14: RunMyCode.org: AResearch-Reproducibility Tool for Computational Sciences Chapter 15: Open Science and the Role of Publishers in Reproducible Research
Additional Edition:
Online-Ausg. Implementing reproducible research Boca Raton [u.a.] : CRC Press, 2014 ISBN 9781466561601
Language:
English
Keywords:
Forschung
;
Statistik
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