pcadata | R Documentation |
The pcadata
class is designed for storing results of principal component analysis (PCA).
Class pcadata
.
IDs of each row of scores
object.
population membership of each row of scores
object.
taxon membership of each row of scores
object.
ordination scores of cases (objects, OTUs).
matrix of eigenvectors (i.e., a matrix of characters loadings).
eigenvalues of principal components, i.e., proportion of variation of the original dataset expressed by individual axes.
eigenvalues as percent, percentage of their total sum.
cumulative percentage of eigenvalues.
data.frame
containing the means for the taxa.
number of principal components.
the centring and scaling of the input data.
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