PCAProjection: Two-dimensional projection by Principal Component Analysis

Description Usage Arguments Value Note Author(s) References Examples

View source: R/PCAProjection.R

Description

Two-dimensional projection by Principal Component Analysis

Usage

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PCAProjection(points3D)

Arguments

points3D

an N x 3 matrix of the x, y, z coordinates of a polygonal link

Value

points3D.rot

an N x 3 matrix containing the x, y, z coordinates of the rotated structure. The first two columns represent the 2D projection of the structure.

Note

This is a low-level function.

Author(s)

Federico Comoglio, [email protected]

References

Comoglio F. and Rinaldi M. A Topological Framework for the Computation of the HOMFLY Polynomial and Its Application to Proteins (2011) PLoS ONE 6(4): e18693, doi:10.1371/journal.pone.0018693 ArXiv:1104.3405

Examples

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## Not run: 
protein <- loadProtein('3MDZ')
par(mfrow = c(1,2))
plotDiagram(protein$A, ends = c(), lwd = 2.5, main = 'Original')

protein.rot <- PCAProjection(protein$A)
plotDiagram(protein.rot, ends = c(), lwd = 2.5, main = 'Reduced')

## End(Not run)

Rknots documentation built on May 29, 2017, 1:38 p.m.