Tags: R

All Categories (1-20 of 129)

  1. Andre Sanchez

    https://qubeshub.org/community/members/43657

  2. Bradley Christoffersen

    https://qubeshub.org/community/members/40141

  3. Carolyn Koehn

    https://qubeshub.org/community/members/39478

  4. Celisa Counterman

    https://qubeshub.org/community/members/39053

  5. Jillian F Wise

    https://qubeshub.org/community/members/37675

  6. 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

  7. Frieda Beauregard

    https://qubeshub.org/community/members/33249

  8. Rebecca Lewis

    https://qubeshub.org/community/members/28409

  9. 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

  10. 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

  11. 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

  12. Eo Hanabusa

    https://qubeshub.org/community/members/21739

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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.

  19. Swirl

    10 Jul 2020 |

    Swirl: Learn R, in R

  20. Paige Yeung

    https://qubeshub.org/community/members/16908