JSM2021

Materials for a presentation at the Joint Statistical Meetings 2021

• Cécile Ané, Claudia Solis-Lemus, and Douglas Bates

Resources:

• The place to begin learning about the Julia language is https://julialang.org
• This is also where Julia can be downloaded for different computer types and operating systems.
• This presentation uses "Pluto" notebooks, which are Julia source files (a .jl file extension) with structured comments.
  • Start julia and run

  using Pluto # you may get a prompt about installing the Pluto package, if so accept the installation
  Pluto.run()

  • At this point you are switched to a browser. Use the Open File box to select the notebook file.
  • These Pluto notebooks have a Presentation Mode button that makes subsections and sections appear as slides. You can skip it if you are just reading them.
• A notebook such as 1intro.jl has a companion file 1intro.jl.html which can be viewed in a browser. Although the html file itself is not interactive, there is a button on the top left that provides instructions (similar to those above) for downloading and installing Julia and Pluto and running the notebook.
• One section of the talk, on using the RCall package, will be presented as a Jupyter notebook to be able to display plots from R.
• A good source for information on Julia packages is https://juliahub.com/ui/Packages
• The chapter Why Julia in Bayesian Statistics using Julia and Turing provides a good narrative introduction to important features of Julia for Statistics and Data Science.
• Julius Krumbiegel's blog provides short, accessible articles on some of the great data science tools he develops.