- Discoverability Visible
- Join Policy Restricted
- Created 05 Jun 2019
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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 |
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
- Paige Parry, George Fox University
Final Products
Graphing grouped continuous data in R with swirl
Version: 1.0
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.
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.
Interpreting one-factor ANOVA in R with swirl
Version: 1.0
Interpreting One-Factor Analysis of Variance (ANOVA)
Checking Normality in R with swirl
Version: 1.0
How to use the "three-prong" approach to check for normality
One-way ANOVA in R with swirl
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.