cocorresp-package: Co-correspondence analysis ordination methods for community...
In gavinsimpson/cocorresp: Co-Correspondence Analysis Methods
cocorresp-package R Documentation
Co-correspondence analysis ordination methods for community ecology
Description
Fits predictive and symmetric co-correspondence analysis (CoCA) models
to relate one data matrix to another data matrix. More specifically,
CoCA maximises the weighted covariance between the weighted averaged
species scores of one community and the weighted averaged species
scores of another community. CoCA attempts to find patterns that are
common to both communitities.
Details
The main interface function is coca which accepts a
formula or two community data matrices. An appropriate formula is
Y ~ ., data = X and the associated data object from
which . will be looked up. The method argument is used
to select from the two forms of CoCA: method = "predictive" for
predictive CoCA (the default), and method = "symmetric" for
symmetric CoCA.
Author(s)
Original Matlab routines by C.J.F. ter Braak and A.P. Schaffers. R port
by Gavin L. Simpson. Function simpls based on simpls.fit (package
pls) by Ron Wehrens and Bjorn-Helge Mevik.
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>
gavinsimpson/cocorresp documentation built on Feb. 22, 2024, 2:40 a.m.
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| cocorresp-package | R Documentation |
Co-correspondence analysis ordination methods for community ecology
Description
Fits predictive and symmetric co-correspondence analysis (CoCA) models to relate one data matrix to another data matrix. More specifically, CoCA maximises the weighted covariance between the weighted averaged species scores of one community and the weighted averaged species scores of another community. CoCA attempts to find patterns that are common to both communitities.
Details
The main interface function is coca which accepts a
formula or two community data matrices. An appropriate formula is
Y ~ ., data = X and the associated data object from
which . will be looked up. The method argument is used
to select from the two forms of CoCA: method = "predictive" for
predictive CoCA (the default), and method = "symmetric" for
symmetric CoCA.
Author(s)
Original Matlab routines by C.J.F. ter Braak and A.P. Schaffers. R port
by Gavin L. Simpson. Function simpls based on simpls.fit (package
pls) by Ron Wehrens and Bjorn-Helge Mevik.
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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