This brief overview introduces some of the key elements, intended for those who have limited experience with R. It introduces R objects, basic operations, storage modes, and functions. Concepts include vectorization.

Logistics

For next time

  • Unit 2 problems

Today’s plan

  • Breakout: Discussion and problems from Unit 1.

  • Jim: Foundation materials in Unit 2

  • Breakout: begin work on Unit 2

Discussion reading:

  1. Redefining statistical significance, classical and Bayesian statisticians compromise, if \(P\) values are to used, then \(P = 0.05\) is way too high, Nature.

  2. Why Big Data Could Be a Big Fail, Jordan on potential and limitations of Big Data (misleading title).

  3. Why environmental scientists are becoming Bayesians, why the proliferation of Bayes in environmental science, Ecol Letters.

Questions for discussion: questions1 on Sakai Resources

Objectives for Unit 2:

  1. Recognize and use R objects
  2. Write basic code to manipulate them