This workshop provides both a short introduction to multivariate exploratory approaches and step-by-step instructions to implement each of them with R. Five methods are presented. These methods are designed to explore and summarize large and complex data tables by means of summary statistics. They help generate hypotheses by providing informative clusters using the variable values that characterize each observation.

1 Downloads, setup, and R packages

1.1 Downloads

For you to fully benefit from this workshop, you need:

Save the R code and R environment files in a folder that is easy to find! This means that the path to the folder should not be too long and should not contain spaces.

1.2 Setup

I am going to be using Rstudio. I suggest you do the same.

In order to run RStudio, you need to have already installed R 2.11.1 or higher (preferably higher). You can download the most recent version of R for your environment from CRAN.

The setup is quick and easy.

1.2.1 Load the R code

First, you are going to load the R code. Its filename is TaLC2020.code.R.

This is what Rstudio looks like upon opening.