Using R for teaching and research
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...
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| Main Authors | , , , |
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| Format | Journal Article |
| Language | English |
| Published |
21.06.2023
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| Subjects | |
| Online Access | Get full text |
| DOI | 10.48550/arxiv.2306.12200 |
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| Summary: | 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. |
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| DOI: | 10.48550/arxiv.2306.12200 |