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Outline content
for the workshop Data Exploration and Presentation with R |
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Checking and organising the data are necessary steps before it can be loaded into any statistical package, and this is true for R too. Becoming thoroughly familiar with the data is the first step in any modelling process. For even moderately large data sets, graphs are the only way to grasp the meaning of the data. Graphs also allow you to discuss the data with colleagues and to present them in reports and papers. Here we discuss the process from recording in the field to ready-to-use data in R and the presentation of the data and results using charts. OutlineThe first stage is to check and format the data so that they can be used in R:
Once we have a usable data set in R, we can start to explore:
Basic R plots are usually all you need for your own exploration - though you will often need different symbols or colours to distinguish groups within the data. When you need to show your colleagues the data, or present them in a report or a paper, it's important that plots are clear and titles are informative.
Before the end of the workshop we will explore topics such as 3D plots (contour plots, wireframe plots), animated graphics, or other topics requested by participants. Participants are encouraged to bring their own data sets OR results of their analysis to the workshop and to experiment with different plotting options. Please note that this is NOT a statistics workshop; if you want a stats workshop come to a Boot Camp! We will be focusing here on DATA exploration and graphics and will not discuss analysis. All participants should come with a laptop computer with R and a spreadsheet package installed. |
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Page updated 25 March 2018 by Mike Meredith |