Introduction to R Event as iCalendar

19 July 2017 - 20 July 2017

Host: Statistical Consulting Centre, Department of Statistics

Cost: $300-$500

Contact info: Dr Rosemary Barraclough

Contact email: rk.barraclough@auckland.ac.nz

Website: SCC workshops

Instructor/Presentor : SCC consultant – Kevin Chang (PhD, University of Auckland)

 

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.

 

Registration:

Please email rk.barraclough@auckland.ac.nz to confirm your participation.

 

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.