Package: upset.hp 0.0.4
Jiangshan Lai
upset.hp: Generate UpSet Plots of VP and HP Based on the ASV Concept
Using matrix layout to visualize the unique, common, or individual contribution of each predictor (or matrix of predictors) towards explained variation on different models. These contributions were derived from variation partitioning (VP) and hierarchical partitioning (HP), applying the algorithm of "Lai et al. (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:
upset.hp_0.0.4.tar.gz
upset.hp_0.0.4.zip(r-4.7)upset.hp_0.0.4.zip(r-4.6)upset.hp_0.0.4.zip(r-4.5)
upset.hp_0.0.4.tgz(r-4.6-any)upset.hp_0.0.4.tgz(r-4.5-any)
upset.hp_0.0.4.tar.gz(r-4.7-any)upset.hp_0.0.4.tar.gz(r-4.6-any)
upset.hp_0.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
upset.hp/json (API)
| # Install 'upset.hp' in R: |
| install.packages('upset.hp', repos = c('https://laijiangshan.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/laijiangshan/upset.hp/issues
Last updated from:5d20501b68. Checks:2 ERROR, 7 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | ERROR | 185 | ||
| source / vignettes | OK | 254 | ||
| linux-release-x86_64 | ERROR | 142 | ||
| macos-release-arm64 | OK | 149 | ||
| macos-oldrel-arm64 | OK | 103 | ||
| windows-devel | OK | 119 | ||
| windows-release | OK | 98 | ||
| windows-oldrel | OK | 105 | ||
| wasm-release | OK | 104 |
Exports:upset.hp
Dependencies:bootcliclustercpp11farverggplot2glmm.hpgluegtableinsightisobandlabelinglatticelifecyclelme4MASSMatrixmgcvminqaMuMInnlmenloptrpatchworkpermuteR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangS7scalesvctrsveganviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Visualization of VP and HP Using UpSet Diagram | upset.hp |