Other packages > Find by keyword >

EasyPCA  

Principal Component Analysis with Automated Interpretation and Visualization
View on CRAN: Click here


Download and install EasyPCA package within the R console
Install from CRAN:
install.packages("EasyPCA")

Install from Github:
library("remotes")
install_github("cran/EasyPCA")

Install by package version:
library("remotes")
install_version("EasyPCA", "0.1.1")



Attach the package and use:
library("EasyPCA")
Maintained by
S. Vishnu Shankar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-30
Latest Update: 2026-08-30
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) <doi:10.1007/s12665-024-11985-5>.
How to cite:
S. Vishnu Shankar (2026). EasyPCA: Principal Component Analysis with Automated Interpretation and Visualization. R package version 0.1.1, https://cran.r-project.org/web/packages/EasyPCA. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited EasyPCA R package
View EasyPCA citation profile
Other R packages that EasyPCA depends, imports, suggests or enhances
Complete documentation for EasyPCA
Functions, R codes and Examples using the EasyPCA R package
Full EasyPCA package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

climwin  
Climate Window Analysis
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a g ...
Download / Learn more Package Citations See dependency  
magicfor  
Magic Functions to Obtain Results from for Loops
Magic functions to obtain results from for loops. ...
Download / Learn more Package Citations See dependency  
gemlog  
File Conversion for "Gem Infrasound Logger"
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
Download / Learn more Package Citations See dependency  
FDRsampsize  
Compute Sample Size that Meets Requirements for Average Power and FDR
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency  
givitiR  
The GiViTI Calibration Test and Belt
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency  
forecastHybrid  
Convenient Functions for Ensemble Time Series Forecasts
Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA