# Support

## Support Options

• ### Knowledge Base

Find information on common questions and issues.

• ### Support Messages

Check on the status of your correspondences with members of the QUBES team.

 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.
387
136
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)
Introductory, Lab, Undergraduate, Instructional Setting, Audience Level, Majors, Activity Length, More than 1 hour
466
172
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, Lab, Undergraduate, Instructional Setting, Audience Level, Advanced, Activity Length, More than 1 hour
449
162
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.
Introductory, Lecture, Undergraduate, Instructional Setting, Audience Level, Majors, Activity Length, 1 Hour, More than 1 hour
435
189
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.
Introductory, Lab, Undergraduate, Instructional Setting, Audience Level, Majors, Activity Length, 1 Hour
394
109
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.
Introductory, Lab, Lecture, Undergraduate, Instructional Setting, Audience Level, Graduate, Majors, Activity Length, More than 1 hour
486
168
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.
640
269
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, Introductory, Lecture, Undergraduate, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, 1 Hour
537
261
0
0
01.2019