This course assumes that participants will have no prior experience with R.
Day one: 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.
Day two: 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.
The daily schedule may vary according to the pace of the workshop.
Registration:
- Please fill in the Google form in https://goo.gl/forms/lUfWUBaGBcaIzI852
- or email [email protected].
Registration costs
- $300 for internal University of Auckland
- $500 for participants from outside the University of Auckland
Payment methods:
Payment for internal participants will be via UoA journaling from your PRESS, research, or other, account.
External participants will be invoiced – please email Dr Rosemary Barraclough.