ebooks and download videos Search All  Title  Author 
Home / Nonfiction / Mathematics / Probability & Statistics

Exploratory Multivariate Analysis by Example Using R

| £79.12 | €88.98 | Ca$128.35 | Au$126.67
by Francois Husson & Sebastien Le & Jerome Pages
What is this?DRM-PDF | by download   add to wish list
Exploratory Multivariate Analysis by Example Using R by Francois Husson & Sebastien Le & Jerome Pages

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, and hierarchical cluster analysis. The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. Within this framework, they present the principles, indicators, and ways of representing and visualizing objects that are common to the exploratory methods. The authors show how to use categorical variables in a PCA context in which variables are quantitative, how to handle more than two categorical variables in a CA context in which there are originally two variables, and how to add quantitative variables in an MCA context in which variables are categorical. They also illustrate the methods and the ways they can be exploited using examples from various fields. Throughout the text, each result correlates with an R command accessible in the FactoMineR package developed by the authors. All of the data sets and code are available at By using the theory, examples, and software presented in this book, readers will be fully equipped to tackle real-life multivariate data.

To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.

SHARE  Share by Email  Share on Facebook  Share on Twitter  Share on Linked In  Share on Delicious
or call in the US toll free 1-888-866-9150 product ID: 727147

Ebook Details
Pages: 240
Size: 12.1 MB
Publisher: CRC Press
Date published:   2010
ISBN: 9781439835814 (DRM-PDF)

DRM Settings
Copying:not allowed
Printing:not allowed
Read Aloud:  not allowed

This product is listed in the following category:

Nonfiction > Mathematics > Probability & Statistics

These authors have products in the following categories:

Nonfiction > Mathematics > Probability & Statistics
Nonfiction > Technology > Food Science

If you find anything wrong with this product listing, perhaps the description is wrong, the author is incorrect, or it is listed in the wrong category, then please contact us. We will promptly address your feedback.

Submit 5 page SummaryWhat is this?

© 2016