PcaResult

Principal component analysis result.

Members

Functions

explainedVariance
Slice!(RCI!T) explainedVariance()
Undocumented in source. Be warned that the author may not have intended to support it.
loadings
Slice!(RCI!T, 2) loadings()

Principal component Loadings vectors (Eigenvectors times sqrt(Eigenvalue))

loadingsScores
Slice!(RCI!T, 2) loadingsScores()
Undocumented in source. Be warned that the author may not have intended to support it.
q
Slice!(RCI!T, 2) q()
Undocumented in source. Be warned that the author may not have intended to support it.
q
Slice!(RCI!(T), 2) q(size_t n)
Undocumented in source.
q
Slice!(RCI!(T), 2) q(T delta)
Undocumented in source.
transform
Slice!(RCI!(T), 2) transform(Slice!(RCI!(T), 2) data)
Undocumented in source. Be warned that the author may not have intended to support it.
transform
Slice!(RCI!(T), 2) transform(Slice!(RCI!(T), 2) data, size_t n)
Undocumented in source. Be warned that the author may not have intended to support it.
transform
Slice!(RCI!(T), 2) transform(Slice!(RCI!(T), 2) data, T delta)
Undocumented in source. Be warned that the author may not have intended to support it.

Variables

eigenvalues
Slice!(RCI!T) eigenvalues;

Principal component variances. (Eigenvalues)

eigenvectors
Slice!(RCI!T, 2) eigenvectors;

Eigenvectors (Eigenvectorsi is the ith eigenvector)

mean
Slice!(RCI!T) mean;

The means of each data column (0 if not centred)

scores
Slice!(RCI!T, 2) scores;

Principal component scores. (Input matrix rotated to basis of eigenvectors)

stdDev
Slice!(RCI!T) stdDev;

The standard deviations of each column (1 if not normalized)

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