principal coordinates analysis.
The first two principal coordinates explained 12.6 and 4.8%% of the molecular variance.
NTSYS 2.11x (Exeter Software) was used to calculate principal coordinates.
Principal coordinates were obtained based on the distance matrix as described by Reeves and Ritchards [16].
Clustering was visualized for the weighted UniFrac analysis using Principal Coordinates Analysis.
Principal coordinates analysis (PCA) and analysis of molecular variance were also performed in GenAlEx.
First, we calculated principal coordinates on Cavalli-Sforza and Edwards' chord distance among samples [67].
We used principal coordinates of neighbour matrices (PCNM; [29], [30]) to model temperature time series.
MDS, also called Principal COordinates analysis (PCO), is an exploratory multivariate procedure designed to identify patterns in a distance matrix.
These trees were compared and analyzed using principal coordinates analysis (PCoA), approximately unbiased (AU) and Shimodaira–Hasegawa (SH) tests.
These coordinates are called principal coordinates.
