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Tags: R

Teaching Materials (1-20 of 34)

  1. 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

  2. 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

  3. 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

  4. Cleaning Data with R and the Tidyverse in Swirl

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

    By Rachel Hartnett

    Oklahoma State 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. Introduction to R Course

    05 Nov 2018 | Teaching Materials

    Free Introduction to R Course at DataCamp

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

  13. DataCamp

    05 Nov 2018 | Teaching Materials

    DataCamp: The Easiest Way to Learn Data Science Online

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

  14. Computational Biology using R

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Hong Qin

    University of Tennessee Chattanooga

    This is an introductory level course on computational biology.

    https://qubeshub.org/publications/907/?v=1

  15. BIO103R: Bio 103 and 104 Labs in R at URI

    29 Oct 2018 | Teaching Materials | Contributor(s):

    By Rachel Schwartz1, Linda Forrester1

    University of Rhode Island

    GitHub repository for Bio 103 and 104 Labs in R at University of Rhode Island

    https://qubeshub.org/publications/886/?v=1

  16. BIO 263 Ecological Data Analysis

    29 Oct 2018 | Teaching Materials | Contributor(s):

    By Rachel Schwartz1, Linda Forrester1

    University of Rhode Island

    Course materials for BIO 263 Ecological Data Analysis

    https://qubeshub.org/publications/885/?v=1

  17. BIO 439/539: Big Data Analysis

    29 Oct 2018 | Teaching Materials | Contributor(s):

    By Rachel Schwartz1, Linda Forrester1

    University of Rhode Island

    Course materials for BIO 439/539: Big Data Analysis

    https://qubeshub.org/publications/884/?v=1

  18. BIO 181G: The information age

    29 Oct 2018 | Teaching Materials | Contributor(s):

    By Rachel Schwartz1, Linda Forrester1

    University of Rhode Island

    Course materials for BIO181G: The information age

    https://qubeshub.org/publications/883/?v=1

  19. Data Analysis for the Life Sciences

    23 Oct 2018 | Teaching Materials | Contributor(s):

    By Rafael A Irizarry1, Michael I Love1

    Harvard University

    An online stats book written completely in R

    https://qubeshub.org/publications/841/?v=1

  20. R Reference Card

    23 Oct 2018 | Teaching Materials | Contributor(s):

    By Tom Short

    EPRI PEAC

    Summary of reference info for using R

    https://qubeshub.org/publications/840/?v=1