Histograms and Boxplots
Author(s): Suann Yang
SUNY Geneseo
1371 total view(s), 605 download(s)
Summary:
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.
Contents:
Compost_experiment_analysis.swc(SWC | 6 KB)
Histograms_and_boxplots_minilecture_slides.pptx(PPTX | 19 MB)
Yang_Boxplots_Instructor_Notes.pdf(PDF | 34 KB)- License terms
Description
Students analyze a subset of data from Karp et al. (2016) to examine how food safety practices affect the sustainability of lettuce production, This lesson takes students through the first step of visualizing the data using Swirl.
Cite this work
Researchers should cite this work as follows:
- Yang, S. (2019). Histograms and Boxplots. Reducing Barriers to Teaching with R in Undergraduate Biology, QUBES Educational Resources. doi:10.25334/Q4GB2W