Open Advanced Search

Log in
Enterprise Plans
Free Trial

Log in
Free Trial
Enterprise Plans
Browse
Features
Pricing

DeepDyve

Advanced Search

show/hide query preview

With all of the words or DOIs:

DeepDyve's default query mode: search by keyword or DOI.

With the exact phrase:

Require these words, in this exact order. Do not surround your terms in double-quotes ("") in this field.

With at least one of the words:

Find any of these words, separated by spaces

Without the words:

Exclude each of these words, separated by spaces

With words in the article title:

Search for these terms only in the title of an article

Published between the years:

With the following authors:

Most effective as: LastName, First Name or Lastname, FN

With words in the journal name:

Search for articles published in journals where these words are in the journal name

Reset filters

Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

DeepDyve requires Javascript to function. Please enable Javascript on your browser to continue.

Applied Multivariate Statistics with R

Part of the Statistics for Biology and Health Book Series

DOI: 10.1007/978-3-319-14093-3

ISBN: 978-3-319-14092-6

Publisher: Springer International Publishing - Springer Journals

May 22, 2015

1 - 10 of 13 Chapters

Available

Introduction

Zelterman, Daniel

Pages: 1 –15

[WE ARE SURROUNDED by data. How is multivariate data analysis different from more familiar univariate methods? This chapter provides a summary of most of the major topics covered in this book. We also want to provide advocacy for the multivariate methods developed.]
Available

Elements of R

Zelterman, Daniel

Pages: 17 –53

[HE SOFTWARE PACKAGE “R” has become very popular over the past decade for good reason. It has open source, meaning you can examine exactly what steps the program is performing. Compare this to the “black box” approach adopted by so many other software packages that hope you will just push the...
Available

Graphical Displays

Zelterman, Daniel

Pages: 55 –87

[HERE ARE MANY GRAPHICAL METHODS that can be demonstrated with little or no explanation. You are likely familiar with histograms and scatterplots. Many options in R have improved on these in interesting and useful ways. The ability to produce statistical graphics is a clear strength of R....
Available

Basic Linear Algebra

Zelterman, Daniel

Pages: 89 –116

[MANY OPERATIONS performed on multivariate data are facilitated using vector and matrix notation. In this chapter we introduce the basic operations and properties of these and then show how to perform them in R.]
Available

The Univariate Normal Distribution

Zelterman, Daniel

Pages: 117 –150

[HE NORMAL DISTRIBUTION is central to much of statistics. In this chapter and the two following, we develop the normal model from the univariate, bivariate, and then, finally, the more general distribution with an arbitrary number of dimensions.]
Available

Bivariate Normal Distribution

Zelterman, Daniel

Pages: 151 –172

[HE BIVARIATE NORMAL DISTRIBUTION helps us make the important leap from the univariate normal to the more general multivariate normal distribution. To accomplish this, we need to make the transition from the scalar univariate notation of the previous chapter to the matrix notation of the...
Available

Multivariate Normal Distribution

Zelterman, Daniel

Pages: 173 –205

[IN THIS CHAPTER, we generalize the bivariate normal distribution from the previous chapter to an arbitrary number of dimensions. We also make use of the matrix notation. The mathematics is generally more dense and relies on the linear algebra notation covered in Chap. 4 In Sect. 4.5 we pointed...
Available

Factor Methods

Zelterman, Daniel

Pages: 207 –229

[THE PREVIOUS CHAPTER described inference on the multivariate normal distribution. Sometimes this is more than we actually need. The multivariate distribution is used as a basis of modeling means and covariances. The covariances describe the multivariate relationship between pairs of individual...
Available

Multivariable Linear Regression

Zelterman, Daniel

Pages: 231 –256

[INEAR REGRESSION is probably one of the most powerful and useful tools available to the applied statistician. This method uses one or more variables to explain the values of another. Statistics alone cannot prove a cause and effect relationship, but we can show how changes in one set of...
Available

Discrimination and Classification

Zelterman, Daniel

Pages: 257 –286

[IF WE HAVE multivariate observations from two or more identified populations, how can we characterize them? Is there a combination of measurements that can be used to clearly distinguish between these groups? It is not good enough to simply say that the mean of one variable is statistically...

results per page

Browse All eBooks

Features

Search and discover articles on DeepDyve, PubMed, and Google Scholar
Read the full-text of open access and premium content
Organize articles with folders and bookmarks
Collaborate on and share articles and folders

Info

Pricing
Enterprise Plans
Browse Journals & Topics
About DeepDyve

Help

Help
Publishers
Contact Us

Sign up for your 14-Day Free Trial Now!

Read and print from thousands of top scholarly journals.

System error. Please try again!

Continue with Facebook

By signing up, you agree to DeepDyve’s Terms of Service and Privacy Policy.

Already have an account? Log in

Save Article to Bookmarks

Bookmark this article. You can see your Bookmarks on your DeepDyve Library.

To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.

Subscribe to Journal Email Alerts

To subscribe to email alerts, please log in first, or sign up for a DeepDyve account if you don’t already have one.

Follow a Journal

To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.

Our policy towards the use of cookies

All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.

cookie policy