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Programming tools: Adventures with R

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  • Sylvia Tippmann

Abstract

A guide to the popular, free statistics and visualization software that gives scientists control of their own data analysis.

Suggested Citation

  • Sylvia Tippmann, 2015. "Programming tools: Adventures with R," Nature, Nature, vol. 517(7532), pages 109-110, January.
    • Handle: RePEc:nat:nature:v:517:y:2015:i:7532:d:10.1038_517109a
    DOI: 10.1038/517109a
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    Cited by:

    1. Ahmed Imran KABIR & Suraya AKTER & Sriman MITRA, 2021. "Students Engagement Detection in Online Learning During Covid-19 Pandemic Using R Programming Language," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 25(3), pages 26-37.
    2. Song, Bingjie & Robinson, Guy M. & Bardsley, Douglas K. & Xue, Yanlong & Wang, Bing, 2023. "Multifunctional agriculture in a peri-urban fringe: Chinese farmers’ responses to shifts in policy and changing socio-economic conditions," Land Use Policy, Elsevier, vol. 133(C).
    3. Dionisio, Marcelo & de Vargas, Eduardo Raupp, 2020. "Corporate social innovation: A systematic literature review," International Business Review, Elsevier, vol. 29(2).
    4. Janine B. Illian & David F. R. P. Burslem, 2017. "Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 101(4), pages 495-520, October.
    5. McLinden, Daniel, 2017. "And then the internet happened: Thoughts on the future of concept mapping," Evaluation and Program Planning, Elsevier, vol. 60(C), pages 293-300.

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