Hi all,
there might be a simple solution to do this, but I don't seem to manage
to find it. I have done a PCA using vegan. I now want to create a biplot
with only those species that explain a certain (cumulative) amount of
the variation along the first 2 PC axes (in order to keep things
Hi Bjorn,
I have done this in the past using ggplot2. I think that I plotted
everything, but only labeled those that were above some threshold. In other
words, I changed the label in the input data to "". I think that is how I
solved this problem.
HTH,
Stephen
On Wed, Oct 12, 2016 at 5:44 AM,
Hi Bjorn,
A common practice in simplifying ordinatin plots is to keep species that
show the best fit into the ordination space.
The position of such species in the ordination diagram really (may) tell
something.
In linear methods like PCA a linear fit is suitable. This can be
computed using