Lisa's Shiny Apps

Access the code for these and other apps on GitHub.

The PsyTeachR Coding Club at the University of Glasgow Institute of Neuroscience and Psychology is currently running a series of shiny tutorials.

Faux: Set up a factorial design, simulate data, visualise and download it.
PlotDemo: Visualise simulated data from a 2x2 factorial design with 6 different plots.
ScienceVerse: Generate machine-readable study descriptions.
Simulation for LMEM: Companion to Understanding mixed effects models through data simulation by Lisa M. DeBruine and Dale J. Barr.
Seen and To See: Search a crowdsourced list of films featuring queer women.
WordCloud: Create a custom word cloud from your own text.
Question: Display questionnaires as a table of radio buttons or drop-down menus.
Peek: Just how bad is it to peek at your data every few observations and stop collecting data once you have a significant result? Simulate false positive rates.
Simulate: Explore a few basic distributions that you can sample in R. Generating random samples is a good way to get better intuitions about what data look like.
JSON/YAML: Convert between JSON and YAML formatted data.

Within: Determine the correlation between within-subjects levels given their means, SDs, N, and t- or p-value.
Args: Get arguments, defaults and options for any R function as Shiny inputs. Also useful for checking installed packages on this shiny server.
MidwayPower: Simulates doing power calculations after collecting a few initial observations.