Introduction to Computing in R with NEON

<p>This is a set of teaching materials adapted from Data Carpentry lessons that teaches biologists basic data science and computing skills using data from the National Ecological Observation Network. Exercises are adapted from Data Carpentry for Biologists. It is under active development. The current version is a website hosted on GitHub pages. The next version will likely be a Quarto document. Collaborators are welcome.</p> <p>Chapter quizzes are included in this resource as separate RStudio projects. These can be hosted on a collaborative coding platform, such as <a href="https://posit.cloud/">Posit Cloud</a> for Instructors and Students, which allows students to make and edit individual copies that their instructor can view and comment on.</p>

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Publication Details

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Published
2026-07-23
DOI
https://doi.org/10.25334/gszb-9906
Primary Topic
Data Analysis with R
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article
Field-Weighted Citation Impact
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article

Introduction to Computing in R with NEON

Jessica Coyle
QUBES
Data Analysis with R
article

Introduction to Computing in R with NEON

Jessica Coyle
article en

Abstract

<p>This is a set of teaching materials adapted from Data Carpentry lessons that teaches biologists basic data science and computing skills using data from the National Ecological Observation Network. Exercises are adapted from Data Carpentry for Biologists. It is under active development. The current version is a website hosted on GitHub pages. The next version will likely be a Quarto document. Collaborators are welcome.</p> <p>Chapter quizzes are included in this resource as separate RStudio projects. These can be hosted on a collaborative coding platform, such as <a href="https://posit.cloud/">Posit Cloud</a> for Instructors and Students, which allows students to make and edit individual copies that their instructor can view and comment on.</p>

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Saint Mary's College of California (US)
Openalex Percentile: Top 6%
Data Analysis with R
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