meanFrechet2: ~ Function: meanFrechet2 ~
In kmlShape: K-Means for Longitudinal Data using Shape-Respecting Distance

Description Usage Arguments Details Value Examples

Compute the Frechet mean between two curves.

1	meanFrechet2(Px, Py, Qx, Qy, timeScale = 0.1, FrechetSumOrMax = "sum", weightPQ = c(1,1))

`Px`	[`vector(numeric)`] Times (abscisse) of the first trajectories.
`Py`	[`vector(numeric)`] Values of the first trajectories.
`Qx`	[`vector(numeric)`] Times of the second trajectories.
`Qy`	[`vector(numeric)`] Values of the second trajectories.
`timeScale`	[`numeric`]: allow to modify the time scale, increasing or decreasing the cost of the horizontal shift. If timeScale is very big, then the Frechet's mean is equal to the euclidienne distance. If timeScale is very slow, then it is equal to the Dynamic Time Warping.
`FrechetSumOrMax`	[`character`]: Like Frechet's distance, Frechet's mean can be define using the 'sum' function or the 'max' function. This option let the user to chose one or the other.
`weightPQ`	[`couple(numeric)`]: respective weight of the two trajectories (for a weighted mean).

Given two curve P and Q

The Frechet distance between P and Q is define as distFrechet(P,Q)=inf_{a,b} max_{t} d(P(a(t)),Q(b(t))).
The Frechet path is the couple of function (a(t),b(t)) that realize the equality of the Frechet distance: distFrechet(P,Q)=max_{t} d(P(a(t)),Q(b(t)))
Frechet mean is the curve define by the sequence of all the center of the segments define by the Frechet path [a(t),b(t)]. If P and Q have respectively weight p and q, the center is the weighted mean of the segments : $c(t)=(p.a(t)+q.b(t))/(p+q)$.

The Frechet distance, path and means can also be define using a sum instead of a max.

A numeric value.

traj <- matrix(0,4,5)
traj[1,2] <- 10
traj[2,3] <- 11
traj[3,4] <- 10
traj[4,2] <- 8

matplot(x=1:5,y=t(traj),type="l",col=2:5,lty=1)
m12 <- meanFrechet2(Px=1:5,Py=traj[1,],Qx=1:5,Qy=traj[2,])
m34 <- meanFrechet2(Px=1:5,Py=traj[3,],Qx=1:5,Qy=traj[4,])
lines(m12,col=2,lwd=3)
lines(m34,col=2,lwd=3)

m1234 <- meanFrechet2(Px=m12$times,Py=m12$traj,Qx=m34$times,Qy=m34$traj)
lines(m1234,col=1,lwd=5)