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Introdução ao RMarkdown e ao Git

Introdução ao RMarkdown e ao Git

Minicurso ministrado para discentes da Pós-Graduação em Ecologia e Evolução da Universidade Federal de Goiás

Karlo Guidoni Martins

June 10, 2018
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  1. Introdução ao RMarkdown e ao Git Gracielle Higino Karlo Guidoni

    Martins 10 de junho de 2018 Seminário dxs Alunxs Universidade Federal de Goiás Programa de Pós-Graduação em Ecologia & Evolução 1/25
  2. MOTIVAÇÃO4 4Lowndes et al. 2017, Our path to better science

    in less time using open data science tools - Nature Ecology & Evolution 8/25
  3. REPRODUTIBILIDADE6 “Reproducibility is like brushing your teeth. Once you learn

    it, it becomes a habitat” 6Baker 2016, 1,500 scientists lift the lid on reproducibility - Nature 11/25
  4. REPRODUTIBILIDADE7 7Parker et al 2016, Transparency in Ecology and Evolution:

    Real Problems, Real Solutions - Trends in Ecology & Evolution 12/25
  5. OBJETIVOS & EXPECTATIVAS9 9Vuorre and Curley 2018, Curating Research Assets:

    A Tutorial on the Git Version Control System - Advances in Methods and Practices in Psychological Science 15/25
  6. LEMBRETES12 “True reproducibility is really hard, but do not let

    this put you off.” “Instead, challenge yourself to add one more aspect to each of your projects.” “Partially reproducible research is much better than completely non-reproducible research.” 12Cooper and Hsing 2017, A guide to reproducible code in ecology and evolution - BES Guides 19/25