Package: UpSetVP 1.0.0

UpSetVP: An Alternative Visualization of VPA and HP in Canonical Analysis

Using matrix layout to visualize the unique, common, or individual contribution of each predictor (or matrix of predictors) towards explained variation on canonical analysis. These contributions were derived from variance partitioning analysis (VPA) and hierarchical partitioning (HP), applying the algorithm of Lai J., Zou Y., Zhang J., Peres-Neto P. (2022) Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package.Methods in Ecology and Evolution, 13: 782-788 <doi:10.1111/2041-210X.13800>.

Authors:Yao Liu

UpSetVP_1.0.0.tar.gz
UpSetVP_1.0.0.zip(r-4.5)UpSetVP_1.0.0.zip(r-4.4)UpSetVP_1.0.0.zip(r-4.3)
UpSetVP_1.0.0.tgz(r-4.4-any)UpSetVP_1.0.0.tgz(r-4.3-any)
UpSetVP_1.0.0.tar.gz(r-4.5-noble)UpSetVP_1.0.0.tar.gz(r-4.4-noble)
UpSetVP_1.0.0.tgz(r-4.4-emscripten)UpSetVP_1.0.0.tgz(r-4.3-emscripten)
UpSetVP.pdf |UpSetVP.html✨
UpSetVP/json (API)

# Install 'UpSetVP' in R:
install.packages('UpSetVP', repos = c('https://liuxyh.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/liuxyh/upsetvp/issues

Datasets:
  • baima.env - EcM Fungal Data with Environmental Variables
  • baima.fun - EcM Fungal Data with Environmental Variables

On CRAN:

3.60 score 8 stars 3 scripts 190 downloads 2 exports 33 dependencies

Last updated 1 years agofrom:4ce4ae3061. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-winERRORNov 23 2024
R-4.5-linuxERRORNov 23 2024
R-4.4-winERRORNov 23 2024
R-4.4-macERRORNov 23 2024
R-4.3-winERRORNov 23 2024
R-4.3-macERRORNov 23 2024

Exports:barplot_hpupset_vp

Dependencies:cliclustercolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepatchworkpermutepillarpkgconfigR6RColorBrewerrdacca.hprlangscalestibbleutf8vctrsveganviridisLitewithr