R is a language and environment for statistical computing and graphics, which provides a wide variety of statistical tools (modeling, statistical testing, time series analysis, classification problems, machine learning, ...), together with amazing graphical techniques and the great advantage that it is highly extensible. Nowadays, there is no doubt that it is the software par excellence in statistical courses for any level, for theoretical and applied subjects alike. Besides, it has become an almost essential tool for every research work that involves any kind of analysis or data visualization. Furthermore, it is one of the most employed programming languages for general purposes. The goal of this work is helping to share ideas and resources to improve teaching and/or research using the statistical software R. We will cover its benefits, show how to get started and where to locate specific resources, and will make interesting recommendations for using R, according to our experience. For the classroom we will develop a curricular and assessment infrastructure to support both dissemination and evaluation, while for research we will offer a broader approach to quantitative studies that provides an excellent support for work in science and technology.

翻译：R是一种用于统计计算和绘图的语言及环境，提供各类统计工具（建模、统计检验、时间序列分析、分类问题、机器学习等），兼具卓越的绘图技术以及高度可扩展性的显著优势。如今，它无疑是各层次统计课程（无论是理论学科还是应用学科）的首选软件。此外，对于任何涉及数据分析或数据可视化的研究工作，R已成为近乎必备的工具。与此同时，它也是最常用的通用编程语言之一。本文旨在分享借助统计软件R提升教学和/或研究的思路与资源。我们将涵盖其优势，展示如何入门及定位特定资源，并根据经验提出使用R的有益建议。针对课堂教学，我们将构建支撑推广与评估的课程及考核体系；针对科学研究，我们将为定量研究提供更广阔的视角，为科技工作提供卓越支撑。