easy: An example with M=5 (basis functions) and r=3 (non-zero...
In fpca: Restricted MLE for Functional Principal Components Analysis

Description Usage Format Details

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

1	data(easy)

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.

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

fpca documentation built on May 1, 2019, 10:26 p.m.