simu_data {fdasrvf} | R Documentation |
Simulated two Gaussian Dataset
Description
A functional dataset where the individual functions are given by: y_i(t)
= z_{i,1} e^{-(t-1.5)^2/2} + z_{i,2}e^{-(t+1.5)^2/2}
, t \in [-3, 3],
~i=1,2,\dots, 21
, where z_{i,1}
and z_{i,2}
are i.i.d. normal
with mean one and standard deviation 0.25. Each of these functions is then
warped according to: \gamma_i(t) = 6({e^{a_i(t+3)/6} -1 \over e^{a_i} -
1}) - 3
if a_i \neq 0
, otherwise \gamma_i = \gamma_{id}
(gamma_{id}(t) = t
) is the identity warping). The variables are as
follows: f containing the 21 functions of 101 samples and time which
describes the sampling.
Usage
simu_data
Format
simu_data
A list with 2 components:
-
f
: A numeric matrix of shape101 \times 21
storing a sample of sizeN = 21
of curves evaluated on a grid of sizeM = 101
. -
time
: A numeric vector of sizeM = 101
storing the grid on which the curvesf
have been evaluated.