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

# Make TRUBLE

## Brought to you by

### Goals

• develop, implement, and share modules for teaching statistical and biological concepts in R with Swirl, an interactive platform for learning and teaching R in the RStudio console
• gain access to an existing collection of Swirl courses designed for an undergraduate biostatistics course, as well as user-contributed Swirl lessons developed in this FMN

### Population Demography in Swirl

Emily Weigel

Version: 5.0

The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.
ecology, Population statistics, life history curves
760
417
0
0
10.2022

### Basic Statistics

Emily Weigel, Alycia Lackey

Version: 1.1

The students will practice identifying the appropriate basic statistical tests when given a scenario and learn how to run and interpret those statistical tests in R.
1.1K
602
0
0
10.2020

### Population Ecology in Swirl: Estimating Population Sizes

Mary E McWhirt, Emily Weigel

Version: 2.0

The students will learn to estimate population sizes and consider assumptions of mathematical models and their applicability to the ecology of an organism/population
R, Swirl
1.6K
257
0
0
02.2020

### Island Biogeography

Daniel Lauer, Emily Weigel

Version: 1.0

The students will practice the basic code to test MacArthur and Wilson’s (1967) Island Biogeography model, focusing on how island size, distance, and perturbation affect species numbers.
1.2K
466
0
0
01.2020

### R Subsetting Tutorial

Mary Kho, Emily Weigel

Version: 1.0

The students will practice manipulating data to add to or extract subsets of specific values, rows, columns, or subsets of data contained in existing data files.
1.1K
461
0
0
01.2020

### Optimal Foraging in Swirl

Mary Elizabeth McWhirt, Emily Weigel

Version: 2.0

This lesson centers around the marginal value theorem (MVT, Charnov 1976), which describes how animals should forage in patches. It serves as a pre-lab to teach MVT basics, vectors, ANOVA, and basic plotting.
836
248
0
0
10.2019

### Working with Datasets in R swirl

Caitlin Hicks Pries

Version: 1.0

The goal of this lesson is to learn how to import datasets into R, understand variable types, make adjustments to variables, perform basic calculations, and begin data visualization. The exercise uses an over 100 year time series of climate data.
graphing, RStudio, climate change data, tidyverse, Working with datasets
1.5K
857
0
0
05.2019

### Sampling Distributions and Null Distributions: two swirl lessons in R

Rachel Hartnett

Version: 1.0

There are two complementary lessons. The first covers how sampling distributions are made and ID's their key properties. The second covers how null distributions and how the test statistic of a dataset and its p-value are visualized on this distribution.
The Analysis of Biological Data, teaching with technology, Swirl
1.3K
1.8K
0
0
05.2019

### Importing Data into R

Rachel Hartnett

Version: 1.0

This short swirl lesson on importing data is designed to 1) get a basic understanding in how tables are read into R and some common issues and 2) develop an individual set of instructions for students to use later to import a table on their own.
teaching with technology, Swirl
1.3K
844
0
0
05.2019