Applying Multivariate Methods
eBook - PDF

Applying Multivariate Methods

using R, CAP and Ecom

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Applying Multivariate Methods

using R, CAP and Ecom

About this book

This book is invaluable for anyone interested in multivariate statistics, and has been extensively revised to reflect the ever-growing popularity of R in statistical analysis. All the main multivariate techniques used in Advertising, Archaeology, Anthropology, Botany, Geology, Palaeontology, Sociology and Zoology are clearly presented in a manner which does not assume a mathematical background. The authors' aim is to give you confidence in the use of multivariate methods so that you can clearly explain why you have chosen a particular method. The book is richly illustrated, showing how your results can be displayed in both publications and presentations. For each method, an introductory section describes the method of calculation and the type of data to which it should be applied. This is followed by a series of carefully selected examples from published papers covering a wide range of disciplines. You will find examples from fields you are familiar with. The data sets and R code used are available from our website, allowing you to repeat the analyses and explore the various approaches. This book has been written by the team that created the software titles Community Analysis Package and Ecom. The two programs have themselves been updated to run R code natively within them, and tips are given on how to use these programs to get the best presentation for your ideas.

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Yes, you can access Applying Multivariate Methods by Peter A Henderson,Richard Seaby, Robin Somes in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Covers, etc
  2. Preface
  3. Contents
  4. 1: Introduction
  5. 2: Installing R and getting started
  6. 3: Principal Component Analysis
  7. 4: Correspondence Analysis
  8. 5: MultiDimensional Scaling
  9. 6: Linear Discriminant Analysis
  10. 7: Canonical Correspondence Analysis
  11. 8: TWINSPAN (Two-Way Indicator Species Analysis)
  12. 9: Hierarchical Agglomerative Cluster Analysis
  13. 10: Analysis of Similarities (ANOSIM)
  14. 11: Tips on CAP and Ecom
  15. Glossary of multivariate terms
  16. Index
  17. Pisces software titles & training
  18. Pisces Conservation Ltd - contact