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

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UpSetVP_1.0.0.tgz(r-4.4-any)UpSetVP_1.0.0.tgz(r-4.3-any)
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UpSetVP.pdf |UpSetVP.html✨
UpSetVP/json (API)

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

On CRAN:

2 exports 8 stars 1.39 score 33 dependencies 4 scripts 159 downloads

Last updated 11 months agofrom:4ce4ae3061. Checks:OK: 1 ERROR: 6. Indexed: yes.

Exports:barplot_hpupset_vp

Dependencies:cliclustercolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepatchworkpermutepillarpkgconfigR6RColorBrewerrdacca.hprlangscalestibbleutf8vctrsveganviridisLitewithr