NSC-R Workshops: Simulation

Lisa DeBruine

In this workshop, Lisa DeBruine will show how you can use R to conduct simulations.

This session will cover the basics of simulation using the R package faux. We will simulate data with factorial designs by specifying the within and between-subjects factor structure, each cell mean and standard deviation, and correlations between cells where appropriate. This can be used to create simulated data sets to be used in preparing the analysis code for pre-registrations or registered reports. We will also create data sets for simulation-based power analyses. Participants will need to have very basic knowledge of R and R Markdown, and have installed faux, afex, broom and tidyverse.

Join this workshop meeting on Zoom by clicking this link

Lisa DeBruine is a professor of psychology at the University of Glasgow School of Psychology and Neuroscience. She is a founding member and current Associate Director of the Psychological Science Accelerator, a member of the APA Open Science and Methodology Committee, a local lead for the UK Reproducibility Network, a member of the ORCiD Researcher Advisory Council, and a member of the psyTeachR team for reproducible research educational resources.You can read more about Lisa and her work on her personal website.

Materials

The materials used in the workshop are on Lisa’s Github.

The RMarkdown (Rmd) file she will be working with is linked from there at https://raw.githubusercontent.com/debruine/data-sim-workshops/master/inst/stubs/faux-stub.Rmd)

Citation

For attribution, please cite this work as

DeBruine (2022, Dec. 6). NSC-R Workshops: Simulation. Retrieved from https://nscrweb.netlify.app/posts/2022-12-06-simulation/

BibTeX citation

@misc{debruine2022simulation,
  author = {DeBruine, Lisa},
  title = {NSC-R Workshops: Simulation},
  url = {https://nscrweb.netlify.app/posts/2022-12-06-simulation/},
  year = {2022}
}