cm008 - February 1, 2017

Overview

  • Review the importance of reproducibility in scientific research
  • Identify the major components of R Markdown documents
  • Explain how to use chunk options to customize output
  • Demonstrate the value of caching
  • Explain how to include in-line R code
  • Introduce the different R Markdown document formats
  • Practice writing R scripts (.R) versus R Markdown documents (.Rmd)

To do for Monday

  • Start homework 5
  • Read chapters 2 and 3.1-3.3 in An Introduction to Statistical Learning
  • Read chapter 25 in R for Data Science
    • You can skim chapters 22-24 if you like. I personally am not a fan of how the book introduces statistical modeling, but you may find these chapters more intuitive. Regardless, we will cover the major packages and functions for estimating and visualizing models in class.

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