backfit: Backfit from scores to configuration

In shapes: Statistical Shape Analysis

Backfit from scores to configuration

Description

Backfit from PNSS or PCA scores to a representative configuration

Usage

backfit(scores, x, type="pnss", size=1) 

Arguments

scores	n x p matrix of scores
x	An object that is the output of either pnss3d (if type="pnss") or procGPA (if type="pca")
type	Either "pnss" for PNSS or "pca" for PCA
size	The centroid size of the backfitted configuration. The default is 1 but one can rescale the backfitting if desired.

Value

A k x m matrix of co-ordinates of the backfitted configuration

Author(s)

Ian Dryden

References

Dryden, I.L., Kim, K., Laughton, C.A. and Le, H. (2019). Principal nested shape space analysis of molecular dynamics data. Annals of Applied Statistics, 13, 2213-2234.

Jung, S., Dryden, I.L. and Marron, J.S. (2012). Analysis of principal nested spheres. Biometrika, 99, 551-568.

See Also

pns, pns4pc, plot3darcs

Examples

ans <- pnss3d( macf.dat, sphere.type="BIC", n.pc=8)
y <- backfit( ans$PNS$scores[1,] , ans ,type="pnss")
riemdist( macf.dat[,,1] , y )  #should be close to zero

ans2 <- procGPA( macf.dat, tangentcoords="partial")
y <- backfit( ans2$scores[1,] , ans2 ,type="pca")
riemdist( macf.dat[,,1] , y )  #should be close to zero

shapes documentation built on Feb. 16, 2023, 8:16 p.m.