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  • Created 28 Oct 2019

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.

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Browse products from this FMN     Visit partner groups for full resource collections

Make TRUBLE

Make Teaching R in Undergraduate Biology Less Excruciating

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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
  • Contribute one new lesson and leave the FMN with more ready-to-use Swirl lessons covering diverse biology and data analysis concepts

Mentors

  • Suann Yang, State University of New York College at Geneseo

Final Products

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.
statistics, experimental design, information literacy, introductory, Lab, Online course, Teaching material, Undergraduate, Majors, Promoting Engagement and Self-Efficacy
263
39
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
97
51
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
510
31
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
78
93
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
111
53
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
114
59
0
0
06.2020