FPCA3D-package {FPCA3D}R Documentation

Three Dimensional Functional Component Analysis

Description

Run three dimensional functional principal component analysis and return the three dimensional functional principal component scores. The details of the method are explained in Lin et al.(2015) <doi:10.1371/journal.pone.0132945>.

Details

The DESCRIPTION file:

Package: FPCA3D
Type: Package
Title: Three Dimensional Functional Component Analysis
Version: 1.0
Date: 2018-07-09
Author: Nan Lin, Momiao Xiong
Maintainer: Nan Lin <edmondlinnan@gmail.com>
Description: Run three dimensional functional principal component analysis and return the three dimensional functional principal component scores. The details of the method are explained in Lin et al.(2015) <doi:10.1371/journal.pone.0132945>.
License: GPL-2|GPL-3
Depends: graphics, grDevices, stats, utils

Index of help topics:

FFT2FS_3D               Three dimensional Fourier Series
FPCA3D-package          Three Dimensional Functional Component Analysis
FPCA_3D_score           Three Dimensional Functional Component Analysis

data_in = array(runif(4000,0,1),dim=c(10,10,10,4)) test = FPCA_3D_score(data_in,0.8)

Author(s)

Nan Lin, Momiao Xiong

Maintainer: Nan Lin <edmondlinnan@gmail.com>

References

Lin N, Jiang J, Guo S, Xiong M. Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis. PLOS ONE. 2015;10(7):e0132945.

See Also

FFT2FS_3D, FPCA_3D_score

Examples

data_in = array(runif(4000,0,1),dim=c(10,10,10,4))
test = FPCA_3D_score(data_in,0.8)

[Package FPCA3D version 1.0 Index]