CRAN/E | PCADSC

PCADSC

Tools for Principal Component Analysis-Based Data Structure Comparisons

Installation

About

A suite of non-parametric, visual tools for assessing differences in data structures for two datasets that contain different observations of the same variables. These tools are all based on Principal Component Analysis (PCA) and thus effectively address differences in the structures of the covariance matrices of the two datasets. The PCASDC tools consist of easy-to-use, intuitive plots that each focus on different aspects of the PCA decompositions. The cumulative eigenvalue (CE) plot describes differences in the variance components (eigenvalues) of the deconstructed covariance matrices. The angle plot presents the information loss when moving from the PCA decomposition of one dataset to the PCA decomposition of the other. The chroma plot describes the loading patterns of the two datasets, thereby presenting the relative weighting and importance of the variables from the original dataset.

github.com/annepetersen1/PCADSC
Bug report File report

Key Metrics

Version 0.8.0
R ≥ 3.2.2
Published 2017-04-19 2535 days ago
Needs compilation? no
License GPL-2
CRAN checks PCADSC results

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Maintainer

Maintainer

Anne H. Petersen

ahpe@sund.ku.dk

Authors

Anne H. Petersen

aut / cre

Bo Markussen

aut

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 ≥ 3.2.2

Imports

reshape2
methods
pander
ggplot2
Matrix