[valse.git] / reports / essai16mars.R

p = 10
q = 8
k = 2
D = 20

meanX = rep(0,p)
covX = 0.1*diag(p)

covY = array(dim = c(q,q,k))
covY[,,1] = 0.1*diag(q)
covY[,,2] = 0.2*diag(q)

beta = array(dim = c(p,q,2))
beta[,,2] = matrix(c(rep(2,(D)),rep(0, p*q-D)))
beta[,,1] = matrix(c(rep(1,D),rep(0, p*q-D)))

n = 100

pi = c(0.4,0.6)

data = generateXY(meanX,covX,covY, pi, beta, n)

X = data$X
Y = data$Y

res_valse = valse(X,Y)
Commit	Line	Data
	1	p = 10
	2	q = 8
	3	k = 2
	4	D = 20
	5
	6	meanX = rep(0,p)
	7	covX = 0.1*diag(p)
	8
	9	covY = array(dim = c(q,q,k))
	10	covY[,,1] = 0.1*diag(q)
	11	covY[,,2] = 0.2*diag(q)
	12
	13	beta = array(dim = c(p,q,2))
	14	beta[,,2] = matrix(c(rep(2,(D)),rep(0, p*q-D)))
	15	beta[,,1] = matrix(c(rep(1,D),rep(0, p*q-D)))
	16
	17	n = 100
	18
	19	pi = c(0.4,0.6)
	20
	21	data = generateXY(meanX,covX,covY, pi, beta, n)
	22
	23	X = data$X
	24	Y = data$Y
	25
	26	res_valse = valse(X,Y)