This hands-on workshop will introduce users of the R software environment to the techniques involved in generating reproducible, dynamic data analyses and reports. Using literate programming approaches, participants will learn to build automated reusable reports in R.

Practical exercises will include integration and manipulation of datasets, generation of summary statistics about a dataset, and how to produce high-quality tables and charts.

Recommended participants

Biologists and bioinformaticians wishing to structure and interpret data and generate dynamic reports using R. Prior expertise with R and the command line interface is required, to a level equivalent of that provided by the QFAB workshop “Introduction to R”.

What will I learn?

During this course you will learn about:

Building dynamic reports for reproducible research with literate programming techniques
Reformatting data and summarising and integrating datasets
Generating high-quality graphic presentations of data
Producing reusable scripts in R
After this course you should be able to:

Import tabular data files into R
Use R to merge data from two or more files based on common fields
Extract data from a table and summarise it in both text and graphical formats
Create a knitR template that combines automated data analysis with free-form text interpretation