Package: vcvComp 1.0.2
Anne Le Maitre
vcvComp: Comparison of Variance - Covariance Patterns
Comparison of variance - covariance patterns using relative principal component analysis (relative eigenanalysis), as described in Le Maitre and Mitteroecker (2019) <doi:10.1111/2041-210X.13253>. Also provides functions to compute group covariance matrices, distance matrices, and perform proportionality tests. A worked sample on the body shape of cichlid fishes is included, based on the dataset from Kerschbaumer et al. (2013) <doi:10.5061/dryad.fc02f>.
Authors:
vcvComp_1.0.2.tar.gz
vcvComp_1.0.2.tar.gz(r-4.5-noble)vcvComp_1.0.2.tar.gz(r-4.4-noble)
vcvComp_1.0.2.tgz(r-4.4-emscripten)vcvComp_1.0.2.tgz(r-4.3-emscripten)
vcvComp.pdf |vcvComp.html✨
vcvComp/json (API)
NEWS
| # Install 'vcvComp' in R: |
| install.packages('vcvComp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Tropheus - Tropheus dataset
- Tropheus.IK.coord - Tropheus IK coord dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:d965eb36cd. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-linux | NOTE | Nov 12 2024 |
Exports:cov.Bcov.groupcov.Weigen.testeuclidean.distmat.sq.distminvpr.coordprop.vcv.testrelative.eigenrelGV.multiscaling.BW
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Between-group covariance matrix | cov.B |
| Group covariance matrices | cov.group |
| Within-group covariance matrix | cov.W |
| Difference test for successive relative eigenvalues | eigen.test |
| Euclidean distance between two covariance matrices | euclidean.dist |
| Squared distance matrix | mat.sq.dist |
| Matrix pseudoinverse | minv |
| Principal coordinates ordination | pr.coord |
| Proportionality test of two variance-covariance matrices | prop.vcv.test |
| Relative eigenanalysis | relative.eigen |
| Ratio of generalized variances | relGV.multi |
| Scaling factor between two matrices | scaling.BW |
| Tropheus dataset | Tropheus |
| Tropheus IK coord dataset | Tropheus.IK.coord |