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Caitlin Hicks Pries
Introduction to R Course
05 Nov 2018 | Teaching Materials
Free Introduction to R Course at DataCamp
DataCamp: The Easiest Way to Learn Data Science Online
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.
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
BIO 263 Ecological Data Analysis
Course materials for BIO 263 Ecological Data Analysis
BIO 439/539: Big Data Analysis
Course materials for BIO 439/539: Big Data Analysis
BIO 181G: The information age
Course materials for BIO181G: The information age
Data Analysis for the Life Sciences
23 Oct 2018 | Teaching Materials | Contributor(s):
By Rafael A Irizarry1, Michael I Love1
An online stats book written completely in R
R Reference Card
By Tom Short
Summary of reference info for using R
22 Oct 2018 | Teaching Materials
Cheatsheets are quickstart guides to using some of the most popular packages and features of Rstudio.
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.
Ecology and Epidemiology in R
By Paul Esker
Kansas State University
Ecology and epidemiology in R: Modeling dispersal gradients.
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.
Linear Models and Linear Mixed Effects in R: Tutorial 1
The first of two tutorials that introduce you to linear and linear mixed models.
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.
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.
IPMpack: an R package for Integral Projection Models
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.
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...
Lindsay Alexandra Coome