| scores-methods | R Documentation | 
Function to access either species or site scores for specified axes in co-correspondence analysis ordination methods.
## S3 method for class 'predcoca'
scores(x, choices = c(1, 2),
       display = c("sites","species"), ...)
## S3 method for class 'symcoca'
scores(x, choices = c(1, 2),
       display = c("sites","species"), scaling = FALSE, ...)
| x | an ordination result | 
| display |  partial match to access scores for “sites”
“species”, “loadings” or “xmatrix”. The latter
two are only available for  | 
| choices | numeric; the ordination axes to return. | 
| scaling | logical; whether scores should be rescaled
by the quarter root of the eigenvalues using
 | 
| ... | arguments to be passed to other methods. | 
Implements a scores method for symmetric
co-correspondence analysis ordination results.
A list with one or more components containing matrices of the requested scores:
| species | A list with two components,  | 
| sites | A list with two components,  | 
| loadings | A list with two components,  | 
| xmatrix | The X matrix. For  | 
Gavin L. Simpson, based on Matlab code by C.J.F. ter Braak and A.P. Schaffers.
ter Braak, C.J.F and Schaffers, A.P. (2004) Co-Correspondence Analysis: a new ordination method to relate two community compositions. Ecology 85(3), 834–846
scores, for further details on the method.
## load some data
data(beetles)
data(plants)
## log transform the bettle data
beetles <- log(beetles + 1)
## fit the model, a symmetric CoCA
bp.sym <- coca(beetles ~ ., data = plants, method = "symmetric")
## extract the scores
scr <- scores(bp.sym)
## predictive CoCA using SIMPLS and formula interface
bp.pred <- coca(beetles ~ ., data = plants)
scr2 <- scores(bp.pred)
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