The Statistical Consulting Centre at the University of Melbourne is offering a workshop on  Introduction to R and Reproducible Research.

This workshop covers the tools needed to efficiently work with data using R, particularly focusing on importing, rearranging, describing and visualising data.

This workshop has a focus on reproducible research, which means making sure that all of steps in analysing your data are recorded and could be run again automatically: by you, if you discover an error in your data file or a step in your data processing; by a colleague, to do a similar analysis on their own data; or by someone else to verify your results.

The course covers the following topics:

• the basics of R and RStudio;
• using R Markdown to tie together your R code, output and analytical decisions;
• the benefits of a reproducible approach to data analysis;
• concepts relating to types of data and how to best organise the data you collect;
• importing data from commonly used file formats including Excel and CSV;
• practical data-cleaning tasks to get your original data ready for analysis;
• methods for summarising and describing data;
• producing high-quality graphics with the ‘ggplot’ package;
• presenting results from statistical analyses in tables and graphs.

Presenters: Cameron Patrick and Dr Sandy Clarke-Errey

This is a two day workshop.

For more information, price and registration, please click here.

The course is face-to-face, and the dates are 25 and 26 September 2023.