• Corpus ID: 221640627

TCA and TLRA: A comparison on contingency tables and compositional data

@article{Allard2020TCAAT,
  title={TCA and TLRA: A comparison on contingency tables and compositional data},
  author={J. Allard and Shawn Champigny and Vartan Choulakian and S. Mahdi},
  journal={arXiv: Methodology},
  year={2020}
}
There are two popular general approaches for the analysis and visualization of a contingency table and a compositional data set: Correspondence analysis (CA) and log ratio analysis (LRA). LRA includes two independently well developed methods: association models and compositional data analysis. The application of either CA or LRA to a contingency table or to compositional data set includes a preprocessing centering step. In CA the centering step is multiplicative, while in LRA it is log bi… 

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