data.coor2: Generate regular data

In msalibian/sparseFPCA: Robust functional PCA for longitudinal data

Generate regular data

Description

Generate regular longitudinal samples.

Usage

data.coor2(n, mu.c = 10, np = 100, mu.f, phi)

Arguments

n	the number of samples
mu.c	the mean
np	the number of observations per curve
mu.f	the mean function
phi	a list of length 2 containing two "eigenfunctions"

Details

Generate regular longitudinal samples. The observations per curve are seq(0, 1, length=np). It uses a Karhunen-Loeve representations uing the mean function mu.f and (2) eigenfunctions (in phi). The scores are rnorm(0, 25) and rnorm(0, 1).

Value

A list with two components:

x	A list with the n vectors of observations (one per curve)
pp	A corresponding list with the vectors of times at which observations were taken

msalibian/sparseFPCA documentation built on Nov. 26, 2022, 4:47 a.m.