Symmetric Co-CA
Package: cocorresp 0.4-6
cocorresp: Co-Correspondence Analysis Methods
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 communities.
Authors:
cocorresp_0.4-6.tar.gz
cocorresp_0.4-6.zip(r-4.7)cocorresp_0.4-6.zip(r-4.6)cocorresp_0.4-6.zip(r-4.5)
cocorresp_0.4-6.tgz(r-4.6-any)cocorresp_0.4-6.tgz(r-4.5-any)
cocorresp_0.4-6.tar.gz(r-4.7-any)cocorresp_0.4-6.tar.gz(r-4.6-any)
cocorresp_0.4-6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cocorresp/json (API)
| # Install 'cocorresp' in R: |
| install.packages('cocorresp', repos = c('https://gavinsimpson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gavinsimpson/cocorresp/issues
Pkgdown/docs site:https://gavinsimpson.github.io
Datasets:
- beetles - Carabid beetles and vascular plants in Dutch roadside verges
- bryophyte - Bryophytes and vascular plants in Carpathian spring meadows
- plants - Carabid beetles and vascular plants in Dutch roadside verges
- vascular - Bryophytes and vascular plants in Carpathian spring meadows
- verges - Carabid beetles and vascular plants in Dutch roadside verges
Last updated from:9d405b7d01. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 184 | ||
| source / vignettes | OK | 158 | ||
| linux-release-x86_64 | OK | 154 | ||
| macos-release-arm64 | OK | 124 | ||
| macos-oldrel-arm64 | OK | 92 | ||
| windows-devel | OK | 105 | ||
| windows-release | OK | 87 | ||
| windows-oldrel | OK | 99 | ||
| wasm-release | OK | 104 |
