weights.RdExtractor function to identify and select appropriate analysis weights from Co-correspondence Analysis models.
# S3 method for symcoca weights(object, ...) # S3 method for predcoca weights(object, ...)
| object | an object of class |
|---|---|
| ... | arguments passed to other methods. Not used. |
A numeric vector of common site weights is currently returned. These correspond to \(R_{0}\) in ter Braak and Schaffers (2004).
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.
Gavin L. Simpson
envfit.coca uses these weights to estimate
weighted correlations in ordination space. See coca for
details on creating CoCA models.
od <- options(digits = 4) ## 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") #> #> Removed some species that contained no data in: beetles, plants ## weights == R[0] weights(bp.sym) #> [1] 0.0146737 0.1586728 0.0905607 0.0052562 0.0052562 0.0182873 0.0373412 #> [8] 0.0343846 0.1818879 0.0073368 0.0060228 0.0178493 0.0051467 0.0077749 #> [15] 0.0286903 0.0014236 0.0326325 0.0205869 0.0222295 0.0415024 0.0290188 #> [22] 0.0106220 0.0192729 0.0425975 0.0652650 0.0560666 0.0197109 0.0171923 #> [29] 0.0003285 0.0024091 options(od)