Introduction

This is a user guide for mdatools — R package for preprocessing, exploring and analysis of multivariate data. The package provides methods mostly common for Chemometrics. The general idea of the package is to collect the popular chemometric methods and give a similar “user interface” for using them. So if a user knows how to make a model and visualize results for one method, he or she can easily do this for the other methods as well.

I decided to rewrite this tutorial in order to add more details and examples for the implemented methods. This is a pre-release version and I am still working on it. So far it only presents how to work with datasets and plots as well as describes in details how to do PCA analysis. More chapters (PLS, variable selection, classification) will be available soon. You can track main changes in the text here.

All methods implemented in the package were tested using well-known datasets. However, there still could be some bugs, in this case please report to svkucheryavski@gmail.com or use Issues tool at GitHub. You are also very welcome to share your comments and suggestions about the package functionality.