summarymethods {cocorresp}  R Documentation 
summary
methods for classes "predcoca"
and
"symcoca"
. These provide a summary of the main results of a
CoCorrespondence Analysis model.
## S3 method for class 'predcoca'
summary(object, axes = NULL, ...)
## S3 method for class 'symcoca'
summary(object, ...)
object 
an object of class 
axes 
numeric; how many axes to summarise? The default is to display 6 axes or all available axes, whichever is the smaller. 
... 
arguments to be passed to other methods. 
A list with the some of the following components:
cocaScores 
The site and/or species scores for the axes requested. 
call 
The call used to fit the model. 
lambda 
The eigenvalues for the axes requested. Not for

namY, namX 
the names of the response and predictor either supplied by the user or derived from the original call. 
loadings 
a list with two components 
varianceExp 
a list with components 
totalVar 
a list with components 
inertia 
a list with components 
scaling 
the scaling used/requested. (Only for symmetric CoCA models.) 
Gavin L. Simpson
The model fitting function coca
## symmetric CoCA
data(beetles)
data(plants)
## log transform the bettle data
beetles < log(beetles + 1)
## fit the model
bp.sym < coca(beetles ~ ., data = plants, method = "symmetric")
summary(bp.sym)
## Predictive CoCA
bp.pred < coca(beetles ~ ., data = plants)
summary(bp.pred, axes = 1:2)