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VIDTAXA: An algorithm for the identification of statistically different groups based on variability obtained in factorial analyses
- Source :
- Ecological Informatics. 49:62-68
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Factorial analyses are frequently used in ecological studies to identify different groups, which is a valid approach if those variables which show the highest variability also best differentiate among groups. Here we present VIDTAXA, an algorithm designed to identify statistically different groups in Principal Components and Correspondence analyses, without previous knowledge of the various potential groups present in the dataset. VIDTAXA is freely available as a function of the VARSEDIG package, which is available as an RWizard application and as an R package on CRAN. As a demonstration of VIDTAXA's potential, we used the algorithm in an example of phenetic taxonomy, for the identification of statistically different taxa in a number of marine Scorpaeniform species. This algorithm. however, it may be used with any kind of data, whether qualitative or quantitative, for the identification of statistically different groups in ecological studies.
- Subjects :
- 0106 biological sciences
Factorial
Ecology
010604 marine biology & hydrobiology
Applied Mathematics
Ecological Modeling
Function (mathematics)
010603 evolutionary biology
01 natural sciences
Computer Science Applications
R package
Taxon
Computational Theory and Mathematics
Modeling and Simulation
Taxonomy (general)
Principal component analysis
Identification (biology)
Algorithm
Ecology, Evolution, Behavior and Systematics
Mathematics
Subjects
Details
- ISSN :
- 15749541
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- Ecological Informatics
- Accession number :
- edsair.doi...........42c7519d58cc178af8edf855a3ea9b87