Multidimensional data on community composition, properties of individual populations, or properties of environment are the bread and butter of an ecologist’s life. They need to be carefully analysed taking their multidimensionality into account. Looking at the properties of each variable separately does not work in most cases. The methods for statistical analysis of such data sets fit under the umbrella of ‘multiple regression models and multivariate statistical methods’. In this course, our intention is to provide the participant with both the basic understanding of the principles of multivariate methods and the skills needed to use those methods in his/her own work. The course consists of lectures and computer practicals using RStudio.
The course is aimed at PhD candidates, postdocs, and other academics that are working above plant integration level in plant, animal, and/or environmental/ecological sciences.
Former occurrences of this course
23-29 June 2021 | 29 Jan – 4 Febr 2020 | 30 Apr – 8 May 2019 | 16-24 Oct 2017 | 18-26 Oct 2016 | 14-23 Oct 2015 | 14-23 Oct 2014 | 22-31 Oct 2013 | 9-19 Oct 2012 | 17-28 Oct 2011 | 19-29 Apr 2010