% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{simu_warp}
\alias{simu_warp}
\title{Aligned Simulated two Gaussian Dataset}
\format{
\subsection{\code{simu_warp}}{

A list which contains the output of the \code{\link[=time_warping]{time_warping()}} function applied on
the data set \code{simu_data}.
}
}
\usage{
simu_warp
}
\description{
A functional dataset where the individual functions are given by: \eqn{y_i(t)
= z_{i,1} e^{-(t-1.5)^2/2} + z_{i,2}e^{-(t+1.5)^2/2}}, \eqn{t \in [-3, 3],
~i=1,2,\dots, 21}, where \eqn{z_{i,1}} and \eqn{z_{i,2}} are \emph{i.i.d.} normal
with mean one and standard deviation 0.25. Each of these functions is then
warped according to: \eqn{\gamma_i(t) = 6({e^{a_i(t+3)/6} -1 \over e^{a_i} -
1}) - 3} if  \eqn{a_i \neq 0}, otherwise \eqn{\gamma_i = \gamma_{id}}
(\eqn{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 which has been aligned.
}
\keyword{datasets}
