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This resource seeks to provide a quantitative platform by which students can be taught about interactive effects using the TIEE module created by Little (2018). Key to the adaptation is the use of a Shiny app to create figures and R output.
This resource seeks to provide a quantitative platform by which students can be taught about interactive effects using the TIEE module created by Little (2018)a. Key to the adaptation is the use of a Shiny app to create figures and R output for a model that fits an interaction between a driver of plant and macroinvertebrate richness and wetland permanence. Included in the resources are instructor notes, a pre/post assessment, student handouts, and a link to the Shiny app. The Shiny app can be accessed at https://kristoforvoss.shinyapps.io/dig_practice/.
aThis resource is an adaptation of Little, A.M. (2018). Environment-richness relationships in ephemeral and permanent wetlands: Guided inquiry with graph interpretation. Teaching Issues and Experiments in Ecology, 13, online at http://tiee.esa.org/vol/v13/issues/data_sets/little/abstract.html
Cite this work
Researchers should cite this work as follows:
- Voss, K. (2019). Investigating Determinants of Richness in Ephemeral and Permanent Wetlands Using Linear Models in Shiny. DIG into Data FMN (2018), QUBES Educational Resources. doi:10.25334/Q4RQ9T
While the Shiny app works well, there are a few glitches that are solely my responsibility. The main glitch is that students must enter the x-axis and y-axis labels they want on the figure. This also affects the R output. That is, even when they choose the correct dropdown menu, the axes and R output labels don’t automatically populate. Additionally, the model description at the top of the output corresponds to the R code embedded in the app rather than a readable summary of the model.