construction lasso rank

[valse.git] / R / indicesSelection.R

#' Construct the set of relevant indices -> ED: je crois que cette fonction n'est pas utile
#'
#' @param phi regression matrix, of size p*m
#' @param thresh threshold to say a cofficient is equal to zero
#'
#' @return a list with A, a matrix with relevant indices (size = p*m) and B, a 
#'					matrix with irrelevant indices (size = p*m)
#' @export
indicesSelection = function(phi, thresh = 1e-6)
{
	dim_phi = dim(phi)
	p = dim_phi[1]
	m = dim_phi[2]

	A = matrix(0, p, m)
	B = matrix(0, p, m)

	for(j in 1:p)
	{
		cpt1 = 0
		cpt2 = 0
		for(mm in 1:m)
		{
			if(max(phi[j,mm,]) > thresh)
			{
				cpt1 = cpt1 + 1
				A[j,cpt] = mm
			} else
			{
				cpt2 = cpt2+1
				B[j, cpt2] = mm
			}
		}
	}
	return (list(A=A,B=B))
}