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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
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
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.
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
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.