To investigate patterns in mat species composition we used Detrended Correspondance Analysis (DCA) because our compositional data collected across a directional gradient matched the assumptions of DCA.
"The compositional data is very sparse".
Applying the same procedure on compositional data we looked for a set of expected correlation.
However, in the absence of additional compositional data, this was the best approach available to us.
The MMP is generally estimated using this critical region and the solvent/oil compositional data.
Generally compositional data analysis involves Gaussian likelihoods applied to log-transformed ratios.
The chemical characterisation is based on the statistical evaluation of compositional data of 581 selected samples.
Enrichment factor and Spearman's rank correlation analysis were carried out on compositional data.
New imputation algorithms for estimating missing values in compositional data are introduced.
To evaluate contamination sources for the PAHs, we applied principal component analysis (PCA) using the compositional data [4, 61 63].
The process of taking compositional data and attributing a provenance from a certain source is not a trivial task [4].
