All Categories (41-60 of 131)

1. 

   Joya Mukerji

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

2. 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

3. 

   Kate S Boersma

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

4. 

   Caitlin Hicks Pries

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

5. 

   Geraldine Klarenberg

   Name tag: https://www.name-coach.com/geraldine-klarenberg

   https://qubeshub.org/community/members/9762

6. Introduction to R Course

   05 Nov 2018 | Teaching Materials

   Free Introduction to R Course at DataCamp

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

7. DataCamp

   05 Nov 2018 | Teaching Materials

   DataCamp: The Easiest Way to Learn Data Science Online

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