You are here: Home / Tags / R / Teaching Materials

Tags: R

More tags

Teaching Materials (21-40 of 46)

  1. 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

  2. DataCamp

    05 Nov 2018 | Teaching Materials

    DataCamp: The Easiest Way to Learn Data Science Online

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

  3. Ecology and Epidemiology in R

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

    By Paul Esker

    Kansas State University

    Ecology and epidemiology in R: Modeling dispersal gradients.

    https://qubeshub.org/publications/837/?v=1

  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. Introduction to R Course

    05 Nov 2018 | Teaching Materials

    Free Introduction to R Course at DataCamp

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

  6. IPMpack: an R package for Integral Projection Models

    11 Sep 2018 | Teaching Materials | Contributor(s):

    By C. Jessica E. Metcalf1, Sean M. McMahon2, Roberto Salguero-Gómez3, Eelke Jongejans4, Cory Merow5

    1. University of Oxford 2. Smithsonian Tropical Research Institute 3. University of Queensland 4. Radbound University Nijmegen 5. STRI and University of Connecticut

    IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models.

    https://qubeshub.org/publications/779/?v=1

  7. 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

  8. Linear Models and Linear Mixed Effects in R: Tutorial 1

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

    By Bodo Winter

    University of California, Merced

    The first of two tutorials that introduce you to linear and linear mixed models.

    https://qubeshub.org/publications/832/?v=1

  9. 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

  10. 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

  11. Painting turtles: an introduction to species distribution modeling in R

    12 Jun 2018 | Teaching Materials | Contributor(s):

    By Anna Carter

    Iowa State University

    This module uses R software to introduce students to the process of accessing databases and building species distribution models based on occurrence records.

    https://qubeshub.org/publications/378/?v=1

  12. Pennies to The Moon Data Byte Series

    09 May 2024 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton1, Sadie Kriegler

    Unity College

    This series of Rbyte activities explores the concept of debunking using Fermi Estimation, R, and ChatGPT.

    https://qubeshub.org/publications/4786/?v=1

  13. Performing a Population Viability Analysis from Data Students Collect on a Local Plant

    05 Jan 2018 | Teaching Materials | Contributor(s):

    By Noah Chamey1, Sydne Record2

    1. Hampshire College 2. Harvard University

    Experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 9

    https://qubeshub.org/publications/264/?v=1

  14. Phenotypic plasticity and predation

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

    By Jeremy M Wojdak1, Justin Touchon2

    1. Radford University 2. Vassar College

    Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...

    https://qubeshub.org/publications/545/?v=2

  15. Phenotypic plasticity and predation

    24 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Justin Touchon2

    1. Radford University 2. Vassar College

    Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...

    https://qubeshub.org/publications/545/?v=1

  16. 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

  17. 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

  18. R for biologists

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

    By Marco Martinez

    University of Tennessee - Knoxville

    An introductory guide to data analysis in R for life sciences researchers.

    https://qubeshub.org/publications/815/?v=1

  19. 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

  20. Remote sensing data processing – NEON airborne data

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

    By Yingying Xie

    Northern Kentucky 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

Close

Home

Search