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

1 |

prac 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=10 equally spaced knots.

- eigenvalues
true eigenvalues: first–1, second–0.66, third–0.52, fourth–0.44, fifth–0.38, others–zero.

- number_of_basis
true number of basis functions: M=10.

- dimension
true dimension of the process: r=5.

- 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 500 subjects, and each has 2~10 measurements uniformly distributed on [0,1]; in total there are 3018 measurements

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.