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Statistical Analysis of Microbiome Data with R pp 285–330Cite as

Multivariate Community Analysis

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Part of the book series: ICSA Book Series in Statistics ((ICSABSS))

Abstract

The main goal of microbiome community studies is to compare the composition of different communities (beta diversity). In Chap. 6, we introduced beta diversities and illustrated how to calculate beta diversity indices. After we obtain beta diversity indices, we can conduct statistical analysis on them. The beta diversity analyses in studies of microbiome fall into two categories: exploratory techniques and statistical tests of significance. We illustrated clustering and ordination in Chap. 7.

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Author information

Authors and Affiliations

  1. Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA

    Yinglin Xia & Jun Sun

  2. School of Social Work, University of North Carolina, Chapel Hill, NC, USA

    Ding-Geng Chen

  3. Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA

    Ding-Geng Chen

  4. Department of Statistics, University of Pretoria, Pretoria, South Africa

    Ding-Geng Chen

Authors
  1. Yinglin Xia
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  2. Jun Sun
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  3. Ding-Geng Chen
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Corresponding author

Correspondence to Yinglin Xia .

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Xia, Y., Sun, J., Chen, DG. (2018). Multivariate Community Analysis. In: Statistical Analysis of Microbiome Data with R. ICSA Book Series in Statistics. Springer, Singapore. https://doi.org/10.1007/978-981-13-1534-3_9

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