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.

Contact Us

About you
About the problem
  • Discoverability Visible
  • Join Policy Restricted
  • Created 05 Jun 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.

Interested in upcoming FMN opportunities? Sign up for the QUBES Newsletter

Teaching with R in Undergraduate Biology

Brought to you by

qubes logo

 

Goals

  • 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
  • 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
  • Collaborate with peer mentors on R, swirl, and lecture/classroom/lab effective tips and strategies in online weekly meetings

Mentors

Final Products

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
370
95
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
416
193
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
409
72
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
204
57
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
199
45
0
0
01.2020