Introduction to R

Wellington:
Thursday 29 – Friday 30 November 2018

Register for Wellington

Auckland:
Thursday 28 February – Friday 1 March 2019

Register for Auckland

Details

Instructor

Dr Kevin Chang

Prerequisites

With the exception of the final section on regression, the only prerequisite for this course is numerical common sense! Having completed a first-year university-level in statistics would be helpful for this last session at least, but is not a prerequisite.

Course outline

This course assumes that participants will have no prior experience with R. On the first day we will begin with the basics: using R as a calculator; reading in data from a file; and generating summary statistics and contingency tables. With the basics under our belts, we will begin unveiling some of the power of R in manipulating those very large data sets too unwieldy to deal with, in the introduction of in-built R functions that provide shortcuts for performing the same operation across many columns, or rows, of a data set simultaneously.

On the second day we will discuss optimal visual displays for presenting information from different variable types (e.g. continuous, count, categorical, etc.) as we take an in-depth tour of generating publication-quality graphics in R. This will include:

  • Boxplots, scatterplots, and bar charts, including legends
  • Plots presenting information from multiple variables simultaneously
  • The ggplot2 package for R, for even more sophisticated graphical displays

Finally, we will demonstrate how to use R to fit regression-type models to data.