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Andre Sanchez
https://qubeshub.org/community/members/43657
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Bradley Christoffersen
https://qubeshub.org/community/members/40141
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Carolyn Koehn
https://qubeshub.org/community/members/39478
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Celisa Counterman
https://qubeshub.org/community/members/39053
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Jillian F Wise
https://qubeshub.org/community/members/37675
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Learning R for Biologists: A Mini Course Grab-Bag for Instructors
21 Mar 2023 | Teaching Materials | Contributor(s):
By Amanda D. Clark1, Laurie S. Stevison*1
Auburn University
As biology becomes more data driven, teaching students data literacy skills has become central to biology curriculum. Despite a wealth of online resources that teach researchers how to use R, there...
https://qubeshub.org/publications/3698/?v=1
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Frieda Beauregard
https://qubeshub.org/community/members/33249
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Rebecca Lewis
https://qubeshub.org/community/members/28409
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Thinking deeply about quantitative analysis: Building a Biologist's Toolkit
26 Aug 2021 | Teaching Materials | Contributor(s):
By Sarah Bray1, Paul Duffin1, James D. Wagner1
Transylvania University
Vision and Change in Undergraduate Biology Education encouraged faculty to focus on core concepts and competencies in undergraduate curriculum. We created a sophomore-level course, Biologists'...
https://qubeshub.org/publications/2575/?v=1
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Statistics with epidemiology of COVID-19
20 Jun 2021 | Teaching Materials | Contributor(s):
By Maria Shumskaya1, Shakira Benjamin1, Matthew G Niepielko1, Nicholas Lorusso1
Kean University
Introduction into heat maps, non-parametric t-test and GIF (optional) in R using an original dataset on COVID-19 infections from different counties of New Jersey, USA. Suitable for students who...
https://qubeshub.org/publications/2439/?v=1
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An Introduction to the R Programming Environment
02 Jun 2021 | Teaching Materials | Contributor(s):
By K. A. Garrett1, P. D. Esker1, A. H. Sparks1
Kansas State University
An online module introducing students and biologists to R, published in American Phytopathological Society
https://qubeshub.org/publications/1002/?v=2
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Eo Hanabusa
https://qubeshub.org/community/members/21739
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Ingestion of Microplastics by Coral
12 May 2021 | Teaching Materials | Contributor(s):
By Alyssa Hoekstra
QUBES lesson on ingestion of microplastics by coral. Lesson will give environmental background and then use R for hands-on statistical analyses, followed by critical thinking questions.
https://qubeshub.org/publications/2350/?v=1
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Case Study — World records as measures of senescence or randomness
12 Nov 2020 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton1, Carl Bergstrom2, Jevin West2
1. Bates College and QUBES 2. University of Washington
This is a project meant to accompany the Case Study that Carl Bergstrom, which uses R to explore whether declining track and field world record performance could be an artifact of sample size (less...
https://qubeshub.org/publications/2125/?v=1
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Case Study - Storks vs Babies
11 Nov 2020 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Bates College and QUBES
This is a R project based on the Robert Matthews paper Storks vs Babies. The idea is to replicate the results of the paper, learn a bit about R for linear fits and graphing and explore correlation...
https://qubeshub.org/publications/2123/?v=1
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Calling Bull Case Study — 99.9% Caffeine-free with R
11 Nov 2020 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton1, Carl Bergstrom2, Jevin West2
1. Bates College and QUBES 2. University of Washington
This is an adaptation of Calling Bull's Case Study on how caffeine free is hot chocolate versus coffee in order to make it into a student project that uses R.
https://qubeshub.org/publications/2122/?v=1
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NEON Data in the Classroom: Quantifying Spatial Patterns
23 Jul 2020 | Teaching Materials | Contributor(s):
By Kusum Naithani
University of Arkansas, Fayetteville, AR 72701
Students build on fundamental concepts of spatial patterns and combine this knowledge with the open-data from the National Ecological Observatory Network to quantify spatial autocorrelation and...
https://qubeshub.org/publications/1398/?v=1
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Collecting and analyzing binomial data
17 Jul 2020 | | Contributor(s):: Suann Yang, Darcy Taniguchi, Jenny Hazlehurst
In this tool, students watch an Internet cat video, collect binomial data on cat paw usage, and graph and analyze the data with a binomial test in R using the swirl package.
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Swirl
10 Jul 2020 |
Swirl: Learn R, in R
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Paige Yeung
https://qubeshub.org/community/members/16908