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RStudio: A Platform‐Independent IDE for R and Sweave

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  • Jeffrey S. Racine
Abstract
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Suggested Citation

  • Jeffrey S. Racine, 2012. "RStudio: A Platform‐Independent IDE for R and Sweave," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(1), pages 167-172, January.
    • Handle: RePEc:wly:japmet:v:27:y:2012:i:1:p:167-172
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    Cited by:

    1. Aikaterini Lyra & Athanasios Loukas, 2023. "Simulation and Evaluation of Water Resources Management Scenarios Under Climate Change for Adaptive Management of Coastal Agricultural Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2625-2642, May.
    2. Back, Paula Regina, 2019. "On the relationship between corporate social responsibility and competitive performance in Brazilian Small and Medium Enterprises - empirical evidence from a stakeholders’ perspective," Thesis Commons bdumw, Center for Open Science.
    3. Tommaso Orusa & Annalisa Viani & Enrico Borgogno-Mondino, 2024. "Earth Observation Data and Geospatial Deep Learning AI to Assign Contributions to European Municipalities Sen4MUN: An Empirical Application in Aosta Valley (NW Italy)," Land, MDPI, vol. 13(1), pages 1-21, January.
    4. Beatriz Talavera-Velasco & Lourdes Luceño-Moreno & Jesús Martín García & Daniel Vázquez-Estévez, 2018. "DECORE-21: Assessment of occupational stress in police. Confirmatory factor analysis of the original model," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-11, October.
    5. Janina Rahlff & Sarah P. Esser & Julia Plewka & Mara Elena Heinrichs & André Soares & Claudio Scarchilli & Paolo Grigioni & Heike Wex & Helge-Ansgar Giebel & Alexander J. Probst, 2023. "Marine viruses disperse bidirectionally along the natural water cycle," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    6. Shang-Ming Zhou & Fabiola Fernandez-Gutierrez & Jonathan Kennedy & Roxanne Cooksey & Mark Atkinson & Spiros Denaxas & Stefan Siebert & William G Dixon & Terence W O’Neill & Ernest Choy & Cathie Sudlow, 2016. "Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-14, May.

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