An example with M=5 (basis functions) and r=3 (non-zero eigenvalues)

Description

A simulated dataset as an example which corresponds to the "easy" case in the paper

Usage

1

Format

easy is a list with six components (in the given order):

data

data matrix with three columns: column 1–ID, column 2–measurement, column 3–time.

eigenfunctions

true eigenfunctions: generated from cubic Bsplines with M=5 equally spaced knots.

eigenvalues

true eigenvalues: first–1, second–0.66, third–0.52, others–zero.

number_of_basis

true number of basis functions: M=5.

dimension

true dimension of the process: r=3.

error_sd

true error standard deviation: 0.25.

Details

mean curve of the process is zero; principal component scores and errors are all i.i.d N(0,1); there are 200 subjects, and each has 2~10 measurements uniformly distributed on [0,1]; in total there are 1227 measurements