SemimetricPLS: SemimetricPLS

In sipemu/Nonparametric-Functional-Data-Analysis: Nonparametric Functional Data Analysis

Description

SemimetricPLS is a function that calculates a distance matrix based on the PLS components of the functional data. Response need not to be classes as by Ferraty and Vieu.

Usage

SemimetricPLS(Response,
              Data1, 
              Data2, 
              q)

Arguments

Response	The response of Data1
Data1	Matrix with functional data (curves) each row one; n rows
Data2	Matrix with a second set of functional data (curves) each row one; m rows
q	Number of pls components

Value

Semimetric returns a list with: semimetric as the n x m - distance-matrix

Author(s)

Simon Mueller [e-mail]

References

http://www.math.univ-toulouse.fr/staph/npfda/

Ferraty, F. and Vieu, P. Nonparametric Functional Data Analysis. Springer 2006.

See Also

Semimetric

Examples

# functional data sets
require (fds)

# fat spectrum dataset
X <- t(Fatspectrum$y)
Y <- Fatvalues

# setup semimetric parameter
q <- 4

# calculate distance matrix
Dist1 <- SemimetricPLS (Y[1:100],
                        X[1:100, ], 
                        X[101:150, ], 
                        q)

sipemu/Nonparametric-Functional-Data-Analysis documentation built on May 29, 2019, 10:10 p.m.