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Tags: R

Teaching Materials (1-20 of 41)

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. An introduction to population matrix models: a swirl lesson

    15 Jun 2020 | Teaching Materials | Contributor(s):

    By Jennifer Apple

    SUNY Geneseo

    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...

    https://qubeshub.org/publications/1926/?v=1

  10. Remote sensing data processing – NEON airborne data

    10 Jun 2020 | Teaching Materials | Contributor(s):

    By Yingying Xie

    Northwestern University

    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...

    https://qubeshub.org/publications/1905/?v=1

  11. 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...

    https://qubeshub.org/publications/1891/?v=1

  12. 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

    https://qubeshub.org/publications/1816/?v=1

  13. SEIR simulation activity for flattening the curve

    12 Mar 2020 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton

    Bates College and QUBES

    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...

    https://qubeshub.org/publications/1763/?v=1

  14. Population Ecology in Swirl: Estimating Population Sizes

    12 Feb 2020 | Teaching Materials | Contributor(s):

    By Mary E McWhirt, Emily Weigel1

    Georgia Institute of Technology

    The students will learn to estimate population sizes and consider assumptions of mathematical models and their applicability to the ecology of an organism/population

    https://qubeshub.org/publications/1353/?v=2

  15. Population Ecology in Swirl: Estimating Population Sizes

    26 Sep 2019 | Teaching Materials | Contributor(s):

    By Mary E McWhirt, Emily Weigel1

    Georgia Institute of Technology

    The students will learn to estimate population sizes and consider assumptions of mathematical models and their applicability to the ecology of an organism/population

    https://qubeshub.org/publications/1353/?v=1

  16. NMDS to Study Dead Wood Fungi Communities in Parks of New Jersey

    30 Jul 2019 | Teaching Materials | Contributor(s):

    By Maria Shumskaya1, Christopher Zambell1

    Kean University

    Students use dead wood (saproxylic) fungi occurrence data from New Jersey, USA collected by students and faculty of Kean University to learn the basics of community ecology. Simple NMDS ordination...

    https://qubeshub.org/publications/1367/?v=1

  17. An Introduction to the R Programming Environment

    04 Jan 2019 | 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=1

  18. Working with plant phenology data and fitting a nonlinear model using least squares in R

    21 Dec 2018 | Teaching Materials | Contributor(s):

    By Madeleine Bonsma-Fisher1, Ahmed Hasan1

    University of Toronto

    A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model todetermine when different species get and lose their leaves.

    https://qubeshub.org/publications/978/?v=1

  19. Introduction to R Course

    05 Nov 2018 | Teaching Materials

    Free Introduction to R Course at DataCamp

    https://qubeshub.org/publications/914/?v=1

  20. DataCamp

    05 Nov 2018 | Teaching Materials

    DataCamp: The Easiest Way to Learn Data Science Online

    https://qubeshub.org/publications/913/?v=1