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Kate S Boersma
https://qubeshub.org/community/members/10172
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Caitlin Hicks Pries
https://qubeshub.org/community/members/10140
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Geraldine Klarenberg
Name tag: https://www.name-coach.com/geraldine-klarenberg
https://qubeshub.org/community/members/9762
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Introduction to R Course
05 Nov 2018 | Teaching Materials
Free Introduction to R Course at DataCamp
https://qubeshub.org/publications/914/?v=1
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DataCamp
05 Nov 2018 | Teaching Materials
DataCamp: The Easiest Way to Learn Data Science Online
https://qubeshub.org/publications/913/?v=1
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Cookbook for R
11 Sep 2018 | Teaching Materials | Contributor(s):
By Winston Chang
The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.
https://qubeshub.org/publications/780/?v=1
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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