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This skill will be useful when it comes to analyzing data from the multiple ecological experiments. A lot of ecological data often violates assumptions of normality, cannot be successfully transformed and thus requires non-parametric approaches. The swirl lesson I create will build off of the existing swirl lesson “Manipulating_Data_with_dplyr” within the “Getting_and_Cleaning_Data” swirl course. By completing a whole swirl course first, all students will learn about the basic functions in R and how to work within R_Studio. At the end of the two data manipulation lessons (existing and modified), you will have gained the skills necessary to arrange your future data in the right form for easy analysis in R. In addition, you will reinforce your understanding of the process associated with proper statistical analysis.

The resource contains a brief description (Burks_FinalLessonPlan.pdf) and a more detailed planning document (Burks_FinalSwirlPlan.pdf)

• Burks_Course.swc(SWC | 13 KB)
• Burks_FinalLessonPlan.pdf(PDF | 60 KB)
• Burks_FinalSwirlPlan.pdf(PDF | 159 KB)
• snailexp.csv(CSV | 548 B )
• License terms

Researchers should cite this work as follows:

• Burks, R. L. (2020). Setting Up Nonparametric Tests. Make Teaching with R in Undergraduate Biology Less Excruciating 2020, QUBES Educational Resources. doi:10.25334/PFE8-D888

  BibTex | EndNote

1. Audience Level
2. experimental design
3. information literacy
4. Instructional Setting
5. introductory
6. Lab
7. Majors
8. Online course
9. Promoting Engagement and Self-Efficacy
10. statistics
11. Teaching material
12. Undergraduate

I updated the original submission to include the data files as well as a shorter version of the Swirl plan