shiny | Brandon LeBeau

Extending accessibility of open-source statistical software to the masses A shiny case study

October 7, 2016 slides, R, shiny, package

R R is an open source statistical programming language. Pros: Common statistical procedures are found in R Can extend functionality with packages/functions Cons: Need to be comfortable with code Flexibility of R R is powerful and flexible due to the many user written packages. However, to capture this flexibility: users need to be comfortable with programming users need to find the package users need to understand package specific syntax R package documentation and examples https://www.

Interactively building test forms from an IRT perspective An application of R and Shiny

February 18, 2016 r, slides, shiny, buildform

Overview R R is an open source statistical programming language. Pros: Common statistical procedures are found in R Can extend functionality with packages/functions Cons: Need to be comfortable with code Reproducible Research Reproducible research has become popular. Commonly a document that contains both analysis and text. This can be done with Rmarkdown and knitr. Iterative/Interactive Data Analysis This type of analysis requires some input from the user.