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Guide to ecological community analysis. Methods include the unsupervised learning techniques PCA, MDS and NMDS, and Clusters Analysis.

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Guide to Ecological Community Analysis

Methods covered:

Dataset

The dataset protein.csv is the protein consumption of various European countries.

After reading in the dataset you will process it at least two ways:

  1. Tidy
  2. Standardise

Tidying the data means ensuring the dataset will run smoothly through the functions. Here I pipe (|>) together the tidying and standardising functions. Firstly, I set the Country column to the rownames. This removes the column from the analysis and indicates the values that will be mapped in the ordination plots. Secondly, I select the variables that I want in the plot. Note, I indicate that the select function is from the dplyr package as the MASS package also has a select function. This can be omitted if

Unsupervised

PCA

To Do

MDS

To Do

Cluster

To Do

Supervised

ANOSIM

To Do

To Do

  • Technique explanations
  • Add cluster analysis
  • Add ANOSIM
  • Expanded figure customisation
  • Add table presentation for RMarkdown
  • Improve biplot in PCA script

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Guide to ecological community analysis. Methods include the unsupervised learning techniques PCA, MDS and NMDS, and Clusters Analysis.

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