Time series occur in almost all aspects of data collection, and yet often pose some interesting challenges in their analysis and use.
Going from the poll I conducted, there appears to be a lot of interest in this, so the next series of workshops will cover using R to analyse time series.
Starting with some simple models, this workshop will cover the various issues that most commonly occur, such as dealing with serial correlation, stationarity, and periodicity.
The format of the workshop will follow the formula - relatively informal, each participant is strongly encouraged to bring a laptop, and the emphasis is on getting something useful out of the workshop rather than covering all the material.
A small fee will be charged per person to cover the cost of the venue, and I will try to have all the files, sample code etc available in advance to help speed things up. Everything will be uploaded to the files section here, and I will provide a link to a github repository once it is ready.
Attendence is open to any and all who are interested, and my aim is to make the content as accessible as possible.
If anyone has any questions, comments or issues they would like to raise, please get in touch with me.