Event Date
This is a ‘LIVE COURSE’ – the instructors will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.
TIME ZONE – EST – however all sessions will be recorded and made available allowing attendees from different time zones to follow.
Please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you.
By the end of the course, participants should be able to:
Delivered remotely
Time Zone – EST
Availability – TBC
Duration – 4 days
Contact hours – Approx. 30 hours
ECT’s – Equal to 3 ECT’s
Language – English
This course will comprise a mixture of taught theory and practical examples. Data and analytical approaches will be presented in a lecture format to introduce key concepts. Statistical analyses will then be presented using R. All R script that the instructor uses during these sessions will be shared with participants, and R script will be presented and explained.
Ideally, participants will be able to use a computer screen that is sufficiently large to enable them to view my shared RStudio and their own RStudio simultaneously.
I assume that participants have a basic knowledge of general statistical concepts and of linear models.
Experience with performing statistical analyses using R and R Studio will be assumed.
A computer with the most recent version of R and RStudio is required. R and RStudio are both available as free and open source software for PCs, Macs, and Linux computers.
A full list of required packages will be made available to participants prior to the course.
Ideally, participants will be able to use a computer screen that is sufficiently large to enable them to view my shared RStudio and their own RStudio simultaneously.
Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited.
If you are unsure about course suitability, please get in touch by email to find out more oliverhooker@prstatistics.com
Principal components analysis (PCA)
Correspondence analysis (CA) & detrended correspondence analysis (DCA)
Metric (MDS) and non-metric multidimensional scaling (NMDS)
Day 3 09:00 – 16:00
Constrained ordinations
Day 4 09:00 – 12h00
Bill Shipley is an experienced researcher and teacher in plant ecology and statistical ecology. He has published four scientific monographs and over 170 peer-reviewed papers.