<p><p>The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of
An introduction to applied multivariate analysis with R
✍ Scribed by Everitt, Brian
- Publisher
- Springer
- Year
- 2011
- Tongue
- English
- Leaves
- 284
- Series
- Use R!
- Category
- Library
No coin nor oath required. For personal study only.
✦ Subjects
Mathematical statistics;Statistical Theory and Methods;Statistics;Análisis estadístico multivariable;Multivariate analysis;R (Lenguaje de programación);R (Programming language);Análisis estadístico multivariable;R (Lenguaje de programación)
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<p><p>The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of
This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, soci
This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, soci
<p><span>Data can be extremely valuable if we are able to extract information from them. This is why multivariate data analysis is essential for business and science. This book offers an easy-to-understand introduction to the most relevant methods of multivariate data analysis. It is strictly applic