Learning Objectives

After completing this material, an individual will be able to profile code to do the following:

• profile code to identify bottlenecks and logic errors
  • traceback, browser, Rmarkdown breakpoints
  • Rprof, profviz
  • lineprof
  • Optimizing code
  • package build and checking; TravisCI
• simulate data to study statistical properties
  • examine speed of simulations
  • simulate linear model fits
• create graphics to diagnose patterns in raw and derived data

Simulation lessons from Doug Bates

• Simulation studies using R
• Speed of simulations
• Simulating linear model fits

“Consistency is the last refuge of the unimaginative.” Oscar Wilde