PCoA function pcoa extract vectors; percentage of variance explained
问题 I have a dataset consisting of 132 observations and 10 variables. These variables are all categorical. I am trying to see how my observations cluster and how they are different based on the percentage of variance. i.e I want to find out if a) there are any variables which helps to draw certain observation points apart from one another and b) if yes, what is the percentage of variance explained by it? I was advised to run a PCoA (Principle Coordinates Analysis) on my data. I ran it using vegan