CRAN/E | UpSetVP

UpSetVP

An Alternative Visualization of VPA and HP in Canonical Analysis

Installation

About

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.

github.com/LiuXYh/UpSetVP
Bug report File report

Key Metrics

Version 1.0.0
R ≥ 3.6.0
Published 2022-05-03 733 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks UpSetVP results

Downloads

Yesterday 5 0%
Last 7 days 43 -19%
Last 30 days 177 -11%
Last 90 days 488 -33%
Last 365 days 2.105 +6%

Maintainer

Maintainer

Yao Liu

lyao222lll@nwafu.edu.cn

Authors

Yao Liu

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.6.0

Imports

rdacca.hp
ggplot2
patchwork
grDevices

Suggests

adespatial