Dear all,
 
Join us February 10-13, 2025, for the online Multivariate Data Analysis with R 
and vegan course.
 
 
 
Course website: [ https://www.physalia-courses.org/courses-workshops/vegan/ ]( 
https://www.physalia-courses.org/courses-workshops/vegan/ ) 
 
 
 
 
 
Overview: This course will offer participants a practical introduction to some 
of the most useful functions available within vegan. We will focus on the use 
of ordination methods and on the use of restricted permutations to test a range 
of experimental designs.We will focus on when and how to use multivariate 
methods including unconstrained and constrained ordination (CCA, RDA, 
Constrained PCoA), as well as between-group tests such as PERMANOVA. We will 
cover concepts such as design- and model-based permutations and the 
exchangeability of samples in tests. We will also discuss the use of vegan to 
go beyond simply fitting a constrained ordination model, to diagnostics, 
plotting, etc.
 
 
 
 
 
Who Should Attend? This course is suitable for PhD students (including senior 
thesis-based masters students) and researchers working with multivariate data 
sets in biology (inter alia ecology, animal science agriculture, microbial 
ecology/microbiology), with limited statistical knowledge but a willingness to 
learn more.Participants should be familiar with RStudio and have some fluency 
in programming R code, including being able to import, manipulate (e.g. modify 
variables) and visualise data. There will be a mix of lectures, and hands-on 
practical exercises throughout the course.
 
 
 
 
 
Program Overview
 
Monday: Intro to multivariate data, transformations, dissimilarity metrics
Tuesday: Unconstrained ordination (PCA, PCoA, NMDS)
Wednesday: Constrained ordination, PERMANOVA
Thursday: Statistical inference with permutation tests
 
For the full list of our courses and workshops, please visit: [ 
https://www.physalia-courses.org/courses-workshops/ ]( 
https://www.physalia-courses.org/courses-workshops/vegan/ )
 
 
 
 
 
Best regards,
 
Carlo
 
 
 
 
 
 
 
 
 
 
 
--------------------

Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

i...@physalia-courses.org
 
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