This interactive online MSD Skills training course is aimed at MSD postgraduate research students and staff with some programming experience in R who want to expand their skills in order to create reproducible analysis workflows and publication quality figures from biological data.
- 31st October @ 9.30am - 1.00pm
- 7th November @ 10.00am - 1.00pm
- 8th November @ 10.00am - 1.00pm
By the end of this module, you will be able to perform end-to-end analysis of your own data including statistics and advanced visualization using the third-party packages, which extend the functionality of the base R.
- how to find and install the third-party packages relevant for your analysis
- how to perform advanced data wrangling
- how to create your own functions
- how to create graphs and figures for publication
- how to visualise more complex data and relationships within the data
The course is structured into 3 half-day sessions as follows:
- Session 1 - filtering, grouping, aggregating data - Introduction to common packages such as dplyr and data.table
- Session 2 – visualising data and statistical information with ggplot2 and its extensions
- Session 3 – advanced visualization and plots for high-dimensional data (heatmaps, PCA), interactive plots with Shiny/Plotly