Solutions Lab 14: Developing students’ data analysis & visualisation skills

How do you keep HDR students motivated, particularly those whose research has stalled as they can’t get into the field or lab? A common suggestion is to keep them busy processing data ready for publications or learning some new data analysis techniques. But what if the software you need for this requires a license tied to the RMIT campus and/or access though MyDesktop is too slow? You could use free software alternatives, but they are hard to use and require learning advanced coding skills – right? – Wrong!

In this session Professor Oliver Jones, (School of Science), demonstrated how he has encouraged both his PhD students, and himself, to use the lockdown period to develop new skills in data analysis and visualisation using the R programming language. Oliver discussed how the problem solving and self-teaching skills this project required led to a great learning experience for the group. Oliver and his students have new capabilities that will enhance their future research, and which have already led to new collaborations”.

The video below is an edited version of the webinar conducted by Professor Oliver Jones, questions and technical glitches removed.

Sample of COVID19 data processed using R

Here’s the code Oliver used in the presentation:

Resources Recommended by Oliver Jones

How to Install R

ggplot2 (this is the basic package to make the graphs)

3D plots with Rayshader

gganimate

3D Printing

MZmine 2

Bioconductor

Additional Resources: