Provides an automated workflow for Principal Component Analysis (PCA) that simplifies multivariate data analysis by performing essential preprocessing, statistical tests, component extraction, and visualization in a single function call. The package automatically standardizes variables, computes correlation matrices, performs Kaiser-Meyer-Olkin (KMO) and Bartlett's tests, determines the optimal number of principal components using multiple selection criteria, generates component loadings and scores, and produces publication-ready tables and graphical outputs for researchers and students. Methodological background is described in Shankar et al. (2024) <doi:10.1007/s12665-024-11985-5>.
| Version: | 0.1.1 |
| Imports: | ggplot2, ggcorrplot, corrplot, psych, factoextra, stats, graphics, utils |
| Published: | 2026-08-30 |
| DOI: | 10.32614/CRAN.package.EasyPCA |
| Author: | S. Vishnu Shankar [aut, cre], V. Lavanya [aut], Santosha Rathod [aut], Mrinmoy Ray [aut], Anil Kumar [aut], Balaji Kannan [aut] |
| Maintainer: | S. Vishnu Shankar <S.vishnushankar55 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | EasyPCA results |
| Reference manual: | EasyPCA.html , EasyPCA.pdf |
| Package source: | EasyPCA_0.1.1.tar.gz |
| Windows binaries: | r-devel: EasyPCA_0.1.1.zip, r-release: EasyPCA_0.1.1.zip, r-oldrel: EasyPCA_0.1.1.zip |
| macOS binaries: | r-release (arm64): EasyPCA_0.1.1.tgz, r-oldrel (arm64): EasyPCA_0.1.1.tgz, r-release (x86_64): EasyPCA_0.1.1.tgz, r-oldrel (x86_64): EasyPCA_0.1.1.tgz |
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