Introduction to R and Reproducible Research

This workshop, conducted by the Statistical Consulting Centre, covers the tools needed to efficiently work with data using R, particularly focusing on importing, rearranging, describing and visualising data. It is suitable for beginners and those familiar with R who are looking to improve their skills and strategies for working with data in a reproducible manner.

This workshop covers the tools needed to efficiently work with data using R, particularly focusing on importing, rearranging, describing and visualising data. It is suitable for beginners and those familiar with R who are looking to improve their skills and strategies for working with data in a reproducible manner.

The workshop is presented by Cameron Patrick and Sandy Clarke-Errey in person at the University of Melbourne over two days, with a mixture of lecture presentations and practical work.

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.

More details and registration here: https://scc.ms.unimelb.edu.au/statistics-courses/course-listing/research-and-r