Online Tutorial Sessions

  • Application of Gaussian graphical models to metabolomicsD. Scholtens and R. Balasubramanian
  • Causal inference in RL. D’Agostino McGowan and M. Barrett
  • Create and share reproducible code with R Markdown and workflowrJ. Blischak
  • Creating beautiful data visualizations in R: a ggplot2 crash courseS. Tyner
  • Easy Larger-than-RAM data manipulation with disk.frameZJ Dai
  • End-to-end machine learning with Metaflow: Going from prototype to production with Netflix’s open source project for reproducible data scienceS. Goyal and B. Galvin
  • First steps in spatial data handling and visualizationS. Rochette, D. Scott, and J. Nowosad
  • Getting the most out of GitC. Gillespie and R. Davies
  • Periscope and CanvasXpress – Creating an enterprise-grade big-data visualization application in a dayC. Brett
  • Predictive modeling with text using tidy data principlesJ. Silge and E. Hvitfeldt
  • Reproducible computation at scale with drake: hands-on practice with a machine learning projectW. Landau
  • Seamless R and C++ integration with RcppD. Eddelbuettel