Package: EasyPCA Type: Package Title: Principal Component Analysis with Automated Interpretation and Visualization Version: 0.1.1 Authors@R: c(person(given = "S. Vishnu", family = "Shankar", email = "S.vishnushankar55@gmail.com", role = c("aut", "cre")), person(given = "V.", family = "Lavanya", role = "aut"), person(given = "Santosha", family = "Rathod", role = "aut"), person(given = "Mrinmoy", family = "Ray", role = "aut"), person(given = "Anil", family = "Kumar", role = "aut"), person(given = "Balaji", family = "Kannan", role = "aut")) Description: 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) . License: GPL-3 Encoding: UTF-8 Imports: ggplot2, ggcorrplot, corrplot, psych, factoextra, stats, graphics, utils NeedsCompilation: no Config/roxygen2/version: 8.1.0 Packaged: 2026-09-30 12:35:22 UTC; root 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 Config/pak/sysreqs: cmake libfreetype6-dev make libicu-dev libpng-dev libuv1-dev zlib1g-dev Repository: https://vishnumrstat.r-universe.dev Date/Publication: 2026-08-30 13:00:22 UTC RemoteUrl: https://github.com/cran/EasyPCA RemoteRef: HEAD RemoteSha: 6cfa63e544df0150f8271f4ba24896f94bde9dab