Impact of sample size on principal component analysis ordination of an environmental data set: effects on eigenstructure
In this study, we used bootstrap simulation of a real data set to investigate the impact of sample size (N = 20, 30, 40 and 50) on the eigenvalues and eigenvectors resulting from principal component analysis (PCA). For each sample size, 100 bootstrap samples were drawn from environmental data matrix...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2016-06-01
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| Series: | Ekológia (Bratislava) |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/eko-2016-0014 |