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
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'...
Statistics with epidemiology of COVID-19
20 Jun 2021 | Teaching Materials | Contributor(s):
By Maria Shumskaya1, Shakira Benjamin1, Matthew G Niepielko1, Nicholas Lorusso1
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...
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
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.
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...
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...
Calling Bull Case Study — 99.9% Caffeine-free with R
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.
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...
Collecting and analyzing binomial data
out of 5 stars
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.
10 Jul 2020 |
Swirl: Learn R, in R
An introduction to population matrix models: a swirl lesson
15 Jun 2020 | Teaching Materials | Contributor(s):
By Jennifer Apple
Students will learn how to set up a population matrix model in R and use it for demographic analysis of a population, including projecting population growth, determining lambda and the stable age...
Remote sensing data processing – NEON airborne data
10 Jun 2020 | Teaching Materials | Contributor(s):
By Yingying Xie
Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...
Cleaning Data with R and the Tidyverse in Swirl
09 Jun 2020 | Teaching Materials | Contributor(s):
By Rachel Hartnett
Mount St. Mary's University
The overall goal is to help students learn common data cleaning procedures on a dataset once they’ve collected measurements and before they are able to start their analysis. This swirl lesson is...
Coding Club: A Positive Peer-Learning Community
22 Apr 2020 | Teaching Materials | Contributor(s):
By Gergana Daskalova1, Sandra Angers-Blondin1, John Godlee1, Izzy Rich1, Beverly Tan1, Declan Valters1, Haydn Thomas1, Pedro Miranda1, Gabriela Hajduk1, Kat Keogan1, Isla Myers-Smith1, Kyle Dexter1, Christina Coakley1
University of Edinburgh
Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh
Multiple R Shiny Dashboards tracking COVID-19
20 Mar 2020 |
Posted by Drew LaMar
SEIR simulation activity for flattening the curve
12 Mar 2020 | Teaching Materials | Contributor(s):
This is a short exploration activity to introduce SIR and SEIR models without explicitly introducing differential equations. It utilizes the R package EpiDynamics and students can run the...