This is a completed Faculty Mentoring Network (FMN). FMNs are sustained, immersive, community-based professional development opportunities for faculty. FMNs support the adaptation and implementation of materials and/or instructional approaches in their classrooms. Learn more about FMNs. Interested in upcoming FMN opportunities? Sign up for the QUBES Newsletter

# Reducing Barriers to Teaching with R in Undergraduate Biology

### Goals

• Develop, implement, and share modules for teaching statistical and biological concepts in R with Swirl
• Build a community of peer mentors

### Chi-squared test of independence between two categorical variables

Matthew Aiello-Lammens

Version: 1.1

In this lesson, students will have the opportunity to work through a chi-squared test of independence between two categorical variables.
872
364
0
0
02.2020

### Teaching logistic population growth and ecological modelling

Robert F Smith

Version: 1.0

The lesson is designed to 1) teach students about the concept of logistic population growth, growth rates, and carrying capacity and 2) provide a basic introduction to ecological modeling and quantitative thinking in ecology (i.e., theoretical ecology)
955
336
0
0
01.2019

### Avian Censys Analysis

Darcy Taniguchi

Version: 1.0

This Swirl course uses ecological data of bird counts and habitat variables to estimate inter-observer variability and the relationship of birds with habitat variables.
ecology, regression, averages, error estimates
987
345
0
0
01.2019

### Exploring the functionality of R

Austin Happel

Version: 1.0

Students work with example data to generate a length-weight plot and use lm() to obtain regression coefficients. Base plot functions are used to plot both the data and the regression line.
863
396
0
0
01.2019

### Evolutionary Ecophysiology swirl lesson

Version: 1.0

Uses swirl to walk students through how to use R and analyze their own data.
884
225
0
0
01.2019

### Binomial test

Stephen Gosnell

Version: 1.0

This lesson focused on introducing students to binomial data analysis and reinforcing concepts of confidence intervals, p-value interpretation, and one- vs two-sided tests.
917
330
0
0
01.2019

### Two-Way ANOVA

Didem Ikis

Version: 1.0

In this lesson, students will learn the necessary statistical terms to understand two-way ANOVA, how to visualize their data, how to perform two-way ANOVA and interpret their results, and how to check for the ANOVA assumptions.
1.5K
615
0
0
01.2019

### Histograms and Boxplots

Suann Yang

Version: 1.0

This lesson, created for an introductory ecology course, focuses on helping novice R users to import a data file, apply base R plotting functions, and use R Markdown to generate a reproducible report.
RStudio, data visualization, Swirl
1.2K
506
0
0
01.2019