In an ordination such as this, you have two sets of scores; i) one
pertaining to the (dis)similarity of your samples in terms of species
composition, and ii) one pertaining to the species and which species
co-occur. You can't display both sets of information and retain the
meaning of the scores on
code
rm(list=ls())
library(vegan)
library(MASS)
data(varespec)
print(varespec)
str(varespec)
#PCA
vare.pca <- rda(varespec)
vare.pca
plot(vare.pca)
sum(apply(varespec, 2, var))
biplot(vare.pca, scaling = -1)
Elaine
On Sat, Aug 14, 2010 at 10:48 AM, Ben Bolker wrote:
> elaine kuo gmail
elaine kuo gmail.com> writes:
> Pls kindly advise what scaling is in plot.
> Sometime it could be negative but sometimes it might be positive
> .(I guess it is the proportion between the plot and the margin)
Your question is unclear. Please give more context and/or details.
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Dear List,
Pls kindly advise what scaling is in plot.
Sometime it could be negative but sometimes it might be positive
.(I guess it is the proportion between the plot and the margin)
Thanks
Elaine
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R-hel
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