| Name : R-douconca
| |
| Version : 1.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp156.1.1
| Date : 2024-09-16 13:00:56
|
| Group : Development/Libraries/Other
| Source RPM : R-douconca-1.2.0-lp156.1.1.src.rpm
|
| Size : 0.97 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology
|
Description :
Double constrained correspondence analysis (dc-CA) analyzes
(multi-)trait (multi-)environment ecological data by using the \'vegan\'
package and native R code. Throughout the two step algorithm of ter
Braak et al. (2018) is used. This algorithm combines and extends
community- (sample-) and species-level analyses, i.e. the usual
community weighted means (CWM)-based regression analysis and the
species-level analysis of species-niche centroids (SNC)-based
regression analysis. The two steps use canonical correspondence
analysis to regress the abundance data on to the traits and (weighted)
redundancy analysis to regress the CWM of the orthonormalized traits on
to the environmental predictors. The function dc_CA() has an option to
divide the abundance data of a site by the site total, giving equal
site weights. This division has the advantage that the multivariate
analysis corresponds with an unweighted (multi-trait) community-level
analysis, instead of being weighted. The first step of the algorithm
uses vegan::cca(). The second step uses wrda() but vegan::rda() if the
site weights are equal. This version has a predict() function. For
details see ter Braak et al. 2018 < doi:10.1007/s10651-017-0395-x>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
