varExpl {analogue} | R Documentation |
Extracts information about the variance explained by ordination axes and expresses it in a variety of ways.
varExpl(object, ...) ## S3 method for class 'cca' varExpl(object, axes = 1L, cumulative = FALSE, pcent = FALSE, ...) ## S3 method for class 'prcurve' varExpl(object, pcent = FALSE, ...)
object |
an R object of an appropriate type. Currently only for
objects that inherit from classes |
axes |
numeric vector indicating which axes to compute variance explained for. |
cumulative |
logical; should the variance be explained as a cumulative sum over the axes? |
pcent |
logical; should the variance explained be expressed as a percentage of the total variance. |
... |
additional arguments passed to other methods. Currently not used. |
A numeric vector variance explained by each axis.
Gavin L. Simpson
See cca
and prcurve
for functions that
produce objects that varExpl()
can work with.
data(abernethy) ## Remove the Depth and Age variables abernethy2 <- abernethy[, -(37:38)] ## Fit PCA aber.pca <- rda(abernethy2) ## Distance along the first PCA axis varExpl(aber.pca)