An R Shiny app complementing riskyr to facilitate teaching and training efforts in risk literacy
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riskyr logo

The riskyrApp is an interactive application that complements the R package riskyr.


riskyrApp is a teaching tool that showcases some functionality of the R package riskyr. The application is written in R Shiny and allows using the riskyr toolbox without any need for coding.

The main goal of both riskyr and riskyrApp is to communicate and explain common risk literacy measures in a transparent fashion by providing a set of powerful and interactive representations.


install.packages("riskyr")  # install riskyr from CRAN client
library("riskyr")           # load the package
# install.packages("devtools")


riskyr originated out of a series of lectures and workshops on risk literacy. Its primary designers are Hansjörg Neth, Felix Gaisbauer, Nico Gradwohl, and Wolfgang Gaissmaier, who are researchers at the department of Social Psychology and Decision Sciences at the University of Konstanz, Germany.


The following resources and versions are currently available:

Type: Version: URL:
A. riskyr (R package): Release version
  Development version
B. riskyrApp (R Shiny code): Online version
  Development version
C. Online documentation: Release version
  Development version


We appreciate your feedback, comments, or questions.


riskyr logo

To cite riskyr in derivations and publications use:

  • Neth, H., Gaisbauer, F., Gradwohl, N., & Gaissmaier, W. (2018).
    riskyr: A toolbox for rendering risk literacy more transparent.
    Social Psychology and Decision Sciences, University of Konstanz, Germany.
    Computer software (R package version 0.2.0, Dec. 20, 2018).
    Retrieved from

A BibTeX entry for LaTeX users is:

  title = {riskyr: A toolbox for rendering risk literacy more transparent},
  author = {Hansjörg Neth and Felix Gaisbauer and Nico Gradwohl and Wolfgang Gaissmaier},
  year = {2018},
  organization = {Social Psychology and Decision Sciences, University of Konstanz},
  address = {Konstanz, Germany},
  note = {R package (version 0.2.0, Dec. 20, 2018)},
  url = {},

Calling citation("riskyr") in the package also displays this information.