corAxis {cocorresp} | R Documentation |
Calculates the Pearson product-moment correlation coefficient for the site scores of ordination axes.
corAxis(x, ...) ## Default S3 method: corAxis(x, ...) ## S3 method for class 'symcoca': corAxis(x, axes = c(1:min(6, x$n.axes)), ...)
x |
an ordination object. Only methods for objects of class
symcoca are currently available. |
axes |
the number of axes to calculate the correlation coefficients for. |
... |
arguments to be passed on to other methods. |
A named vector containing the correlation coefficients for the requested axes.
The arguments for cor
are hard coded at their
defaults, see cor
for details. A more flexible version
is planned that will allow arguments to be passed to cor
.
Gavin L. Simpson
cor
, for the main analysis function.
## load some data data(beetles) data(plants) ## log transform the beetle data beetles <- log(beetles + 1) ## symmetric Co-CA model beetles.sym <- coca(beetles ~ ., data = plants, method = "symmetric") ## correlations between axes corAxis(beetles.sym)