.generateMatrices = function(d, K, N, noise)
{
matrices = list( matrix(runif(d*K, min=-1, max=1),ncol=K) ) #reference
- for (i in 2:N)
+ for (i in 2:(N+1))
{
matrices[[i]] <- matrices[[1]][,sample(1:K)]
if (noise)
test_that("labelSwitchingAlign correctly aligns de-noised parameters",
{
- N = 30 #number of matrices
- d_K_list = list(c(2,2), c(5,3))
+ N <- 30 #number of matrices
+ d_K_list <- list(c(2,2), c(5,3))
for (i in 1:2)
{
- d = d_K_list[[i]][1]
- K = d_K_list[[i]][2]
+ d <- d_K_list[[i]][1]
+ K <- d_K_list[[i]][2]
# 1] Generate matrix series
- matrices_permut = .generateMatrices(d,K,N,noise=FALSE)
+ Ms <- .generateMatrices(d, K, N, noise=FALSE)
# 2] Call align function with mode=approx1
- matrices_aligned =
- alignMatrices(matrices_permut[2:N], ref=matrices_permut[[1]], ls_mode="approx1")
+ aligned <- alignMatrices(Ms[2:(N+1)], ref=Ms[[1]], ls_mode="approx1")
# 3] Check alignment
- for (j in 2:N)
- expect_equal(matrices_aligned[[j-1]], matrices_permut[[1]])
+ for (j in 1:N)
+ expect_equal(aligned[[j]], Ms[[1]])
# 2bis] Call align function with mode=approx2
- matrices_aligned =
- alignMatrices(matrices_permut[2:N], ref=matrices_permut[[1]], ls_mode="approx2")
+ aligned <- alignMatrices(Ms[2:(N+1)], ref=Ms[[1]], ls_mode="approx2")
# 3bis] Check alignment
- for (j in 2:N)
- expect_equal(matrices_aligned[[j-1]], matrices_permut[[1]])
+ for (j in 1:N)
+ expect_equal(aligned[[j]], Ms[[1]])
}
})
test_that("labelSwitchingAlign correctly aligns noisy parameters",
{
- N = 30 #number of matrices
- d_K_list = list(c(2,2), c(5,3))
+ N <- 30 #number of matrices
+ d_K_list <- list(c(2,2), c(5,3))
for (i in 1:2)
{
- d = d_K_list[[i]][1]
- K = d_K_list[[i]][2]
- max_error = d * 0.2 #TODO: what value to choose ?
+ d <- d_K_list[[i]][1]
+ K <- d_K_list[[i]][2]
+ max_error <- d * 0.2 #TODO: what value to choose ?
# 1] Generate matrix series
- matrices_permut = .generateMatrices(d,K,N,noise=TRUE)
+ Ms <- .generateMatrices(d, K, N, noise=TRUE)
# 2] Call align function
- matrices_aligned = alignMatrices(matrices_permut, ref="mean", ls_mode="exact")
+ aligned <- alignMatrices(Ms[2:(N+1)], ref=Ms[[1]], ls_mode="exact")
# 3] Check alignment
for (j in 2:N)
- {
- expect_that( norm(matrices_aligned[[j]] - matrices_permut[[1]]),
- is_less_than(max_error) )
- }
+ expect_that( norm(aligned[[j]] - Ms[[1]]), is_less_than(max_error) )
}
})