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Tags: R

All Categories (1-20 of 90)

  1. 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/qubesresources/publications/1002/?v=1

  2. Joya Mukerji

    https://qubeshub.org/community/members/10206

  3. 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/qubesresources/publications/978/?v=1

  4. Kate S Boersma

    https://qubeshub.org/community/members/10172

  5. Caitlin Hicks Pries

    https://qubeshub.org/community/members/10140

  6. Introduction to R Course

    05 Nov 2018 | Teaching Materials

    Free Introduction to R Course at DataCamp

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

  7. DataCamp

    05 Nov 2018 | Teaching Materials

    DataCamp: The Easiest Way to Learn Data Science Online

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

  8. 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/qubesresources/publications/907/?v=1

  9. 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/qubesresources/publications/886/?v=1

  10. 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/qubesresources/publications/885/?v=1

  11. 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/qubesresources/publications/884/?v=1

  12. 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/qubesresources/publications/883/?v=1

  13. 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/qubesresources/publications/841/?v=1

  14. 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/qubesresources/publications/840/?v=1

  15. Rstudio cheatsheets

    22 Oct 2018 | Teaching Materials

    Cheatsheets are quickstart guides to using some of the most popular packages and features of Rstudio.

    https://qubeshub.org/qubesresources/publications/839/?v=1

  16. A Quick Guide to Teaching R Programming to Computational Biology Students

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

    By Stephen Elgen

    University of Cambridge

    An introduction from an experienced educator in teaching R to computational biology graduate students.

    https://qubeshub.org/qubesresources/publications/838/?v=1

  17. 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/qubesresources/publications/837/?v=1

  18. A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2

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

    By Bodo Winter

    University of California, Merced

    The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.

    https://qubeshub.org/qubesresources/publications/833/?v=1

  19. 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/qubesresources/publications/832/?v=1

  20. 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/qubesresources/publications/815/?v=1

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