New tools for PCA-exploration of high dimensional datasets

This repository contains datasets (as Excel file, Data.xlsx) as well as an R script which reproduces all examples from chapter 2 of paper Rodionova O., Kucheryavskiy S., Pomerantsev A., Efficient tools for principal component analysis of complex data — a tutorial. Chemometrics and Intelligent Laboratory Systems, 213, 2021. The paper has open access and available publicly without fee.

In order to run the script make sure that:

1. You have packages mdatools and readxl installed.
2. You have all three files (Data.xlsx, pcv.R and script.R) in the same folder.
3. You have set this folder as working directory.

Additional information about mdatools package is available here. Information about Procrustes cross-validation, used in one of the examples and implemented in pcv.R is available in this repository and in this paper.

If you have any questions, fee free to write to svkucheryavski@gmail.com or just create an issue in this repo.