An introduction to multivariate statistical analyses. Part II. The application
Zygmunt Kaczmarek
Instytut Genetyki Roślin, Polskiej Akademii Nauk w Poznaniu, Pracownia Biometrii (Poland)
Dariusz R. Mańkowski
d.mankowski@ihar.edu.plInstytut Hodowli i Aklimatyzacji Roślin — Państwowy Instytut Badawczy w Radzikowie, Pracownia Ekonomiki Nasiennictwa i Hodowli Roślin (Poland)
https://orcid.org/0000-0002-7499-8016
Abstract
While conducting research and analysing experimental data, one often observes and analyses multiple characteristics of certain experimental objects. Often each of these characteristics is analyzed separately. However, to have a complete picture emerging from the research you should use multivariate analysis which allowing a holistic approach to the investigation of the problem. The paper presents a practical example of the calculation methods of multivariate statistical analysis formally described in the first part. In particular, this paper presents the MANOVA analysis and an analysis of contrasts and canonical variables analysis associated with it.
Keywords:
multivariate analysis, multivariate grouping, spring barley, correlation matrix, covariance matrix, MANOVA, multivariate similarity measuresReferences
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Authors
Zygmunt KaczmarekInstytut Genetyki Roślin, Polskiej Akademii Nauk w Poznaniu, Pracownia Biometrii Poland
Authors
Dariusz R. Mańkowskid.mankowski@ihar.edu.pl
Instytut Hodowli i Aklimatyzacji Roślin — Państwowy Instytut Badawczy w Radzikowie, Pracownia Ekonomiki Nasiennictwa i Hodowli Roślin Poland
https://orcid.org/0000-0002-7499-8016
Statistics
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