Title: jamovi - A Free Alternative to SPSS That Allows R Developers to Publish
Analyses with Rich User Interfaces

Authors: Ravi Selker, Jonathon Love, Damian Dropmann

Affiliation: The jamovi project

Abstract:
Statistical programming languages such as R provide researchers with a multitude
of cutting edge statistical packages. This is largely because R has made it easy
to develop (statistical) packages without a background in software development,
making it the go-to platform for developers of statistical analyses. However,
many researchers prefer to use graphical software (such as SPSS), and miss out
on these new and sophisticated analyses. As a result, developers are not able to
reach all potential users.

This lead us to create jamovi - a graphical statistical software package that
makes it easy to augment R packages, and make them available with an attractive,
interactive, graphical user interface. A key feature of jamovi is that it
provides users with the underlying R syntax of each analysis, enabling people to
seamlessly transition to an interactive R session if they require.

This talk introduces jamovi, gives a brief demonstration of its current
features, and shows how existing analyses from R can be adapted to be rich,
interactive, and driven from an accessible user interface. jamovi is available
from http://www.jamovi.org/.