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  • Created 08 Oct 2020

These are modules from past FMNs

Population Demography in Swirl

Emily Weigel

Version: 4.1

The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.
617
189
0
0
10.2020

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.
introductory, Lab, Online course, Teaching material, Lecture, Undergraduate, Homework, Majors, Non-majors, 1 Hour, Less than 1 hour
363
169
0
0
10.2020

Setting Up Nonparametric Tests

Romi L Burks

Version: 1.0

This swirl lesson will show you how to rearrange your data within R from one that shows a multiple factor design (2 x 2) to a single factor (4 levels) to allow for data analyses that require non-parametric statistics.
618
181
0
0
08.2020
Students will learn how to set up a population matrix model in R and use it for demographic analysis of a population, including projecting population growth, determining lambda and the stable age distribution, and conducting an elasticity analysis.
population dynamics, R, population growth, online, demography, population projection model, quantitative biology, population model, matrix models, population ecology, age structure, population biology, population modeling, Swirl, Demographic processes, population, Leslie matrix, introductory, Online course, Teaching material, Lecture, Undergraduate, Homework, Majors, 1 Hour
377
583
0
0
06.2020

Hardy-Weinberg Equilibrium: a swirl resource

Abigail E. Cahill

Version: 1.0

Students will use swirl to understand Hardy-Weinberg equilibrium. The lesson starts with observed numbers of individuals for each genotype, and students will work through a number of steps to assess whether or not the population is in equilibrium.
Hardy-Weinberg, population genetics, Evolution, evolutionary ecology, R programming language, Swirl, introductory, Lab, Online course, Teaching material, Lecture, Undergraduate, Homework, Advanced, Majors, Less than 1 hour
952
259
0
0
06.2020
We discuss what tests are appropriate to analyze the data from nutrient simulation experiments. They will conduct one-way ANOVAs and a post hoc test using a dummy dataset and interpret the results.
biostatistics, Interdisciplinary STEM, R programming language, aquatic ecology, limnology, Swirl, Lab, Online course, Teaching material, Lecture, Undergraduate, Homework, Advanced, More than 1 hour, Promoting Engagement and Self-Efficacy
299
196
0
0
06.2020
The overall goal is to help students learn common data cleaning procedures on a dataset once they’ve collected measurements and before they are able to start their analysis. This swirl lesson is designed specifically to deal with missing data.
R, data analysis, data manipulation, RStudio, Management Of Data, Swirl, introductory, Online course, Teaching material, Undergraduate, Homework, Majors, Non-majors, Less than 1 hour, Promoting Engagement and Self-Efficacy, Usability
366
223
0
0
06.2020
By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to evaluate genome assembly quality and nucleotide frequencies. 
R programming language, course-based undergraduate research experience, Bioinformatics and Genomics, CURE, CUREs, course-based research experiences (CUREs), STEM CUREs, Comparative genomics, Bioconductor, introductory, Lab, Online course, Teaching material, Undergraduate, Homework, Majors, Non-majors, Less than 1 hour
374
240
0
0
06.2020
In this lesson, students will have the opportunity to work through a chi-squared test of independence between two categorical variables.
352
106
0
0
02.2020

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, Lab, Teaching material
470
100
0
0
02.2020
This lesson helps students know some of the options for how to graph grouped continuous data (such as those involved in doing a t-test or ANOVA) and how to choose the best option.
biostatistics, R programming language, Swirl, Lab, Teaching material, Lecture, Undergraduate, Homework, More than 1 hour
619
202
0
0
01.2020
This lesson offers an introduction to ANOVA, including 1) how this statistical test can be differentiated from others and 2) a step-by-step guide to conducting and interpreting ANOVA results in R, including assumption testing and post-hoc analysis.
biostatistics, R programming language, Swirl, Lab, Teaching material, Lecture, Undergraduate, Homework, More than 1 hour
708
295
1
0
01.2020

Interpreting one-factor ANOVA in R with swirl

Jeremy Claisse

Version: 1.0

Interpreting One-Factor Analysis of Variance (ANOVA)
biostatistics, R programming language, Swirl, Lab, Teaching material, Lecture, Undergraduate, Homework, More than 1 hour
645
147
0
0
01.2020

Checking Normality in R with swirl

Bill Morgan

Version: 1.0

How to use the "three-prong" approach to check for normality
biostatistics, R programming language, Swirl, Lab, Teaching material, Lecture, Undergraduate, Homework, 1 Hour
428
134
0
0
01.2020

One-way ANOVA in R with swirl

Bengt Allen

Version: 1.0

One-way analysis of variance (ANOVA), following the text in Chapter 5 of Beckerman et al. (2017) Getting started with R: an introduction for biologists, 2nd edition.
R programming language, ANOVA, ggplot2, Swirl, Lab, Teaching material, Lecture, Undergraduate, Homework, More than 1 hour
403
106
0
0
01.2020

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.
introductory, Lab, Teaching material, Undergraduate, Majors, 1 Hour, Promoting Engagement and Self-Efficacy
465
157
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.
introductory, Teaching material, Undergraduate, Majors, Promoting Engagement and Self-Efficacy
353
147
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.
273
99
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, introductory, Lab, Online course, Teaching material, Lecture, Undergraduate, 1 Hour
638
333
0
0
05.2019
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, introductory, Lab, Teaching material, Lecture, Undergraduate, Majors, 1 Hour
537
735
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, introductory, Lab, Teaching material, Lecture, Undergraduate, Majors, Less than 1 hour
530
324
0
0
05.2019
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, Teaching material, Undergraduate, Majors, More than 1 hour
431
153
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, Teaching material, Undergraduate, Advanced, More than 1 hour
404
141
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, Teaching material, Lecture, Undergraduate, Majors, 1 Hour, More than 1 hour
393
160
0
0
01.2019

Evolutionary Ecophysiology swirl lesson

Nadia Aubin-Horth

Version: 1.0

Uses swirl to walk students through how to use R and analyze their own data.
introductory, Lab, Teaching material, Undergraduate, Majors, 1 Hour
358
92
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, Teaching material, Lecture, Undergraduate, Graduate, Majors, More than 1 hour
441
148
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.
undergraduate research, ANOVA, introductory, Lab, Teaching material, Undergraduate, Graduate, Advanced, Majors, Non-majors, 1 Hour
564
237
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, Teaching material, Lecture, Undergraduate, Majors, Non-majors, 1 Hour
495
232
0
0
01.2019