| 1 | context("alignMatrices") |
| 2 | |
| 3 | # Helper to generate a random series of matrices to align |
| 4 | .generateMatrices = function(d, K, N, noise) |
| 5 | { |
| 6 | matrices = list( matrix(runif(d*K, min=-1, max=1),ncol=K) ) #reference |
| 7 | for (i in 2:N) |
| 8 | { |
| 9 | matrices[[i]] <- matrices[[1]][,sample(1:K)] |
| 10 | if (noise) |
| 11 | matrices[[i]] = matrices[[i]] + matrix(rnorm(d*K, sd=0.05), ncol=K) |
| 12 | } |
| 13 | matrices |
| 14 | } |
| 15 | |
| 16 | test_that("labelSwitchingAlign correctly aligns de-noised parameters", |
| 17 | { |
| 18 | N = 30 #number of matrices |
| 19 | d_K_list = list(c(2,2), c(5,3)) |
| 20 | for (i in 1:2) |
| 21 | { |
| 22 | d = d_K_list[[i]][1] |
| 23 | K = d_K_list[[i]][2] |
| 24 | |
| 25 | # 1] Generate matrix series |
| 26 | matrices_permut = .generateMatrices(d,K,N,noise=FALSE) |
| 27 | |
| 28 | # 2] Call align function with mode=approx1 |
| 29 | matrices_aligned = |
| 30 | alignMatrices(matrices_permut[2:N], ref=matrices_permut[[1]], ls_mode="approx1") |
| 31 | |
| 32 | # 3] Check alignment |
| 33 | for (j in 2:N) |
| 34 | expect_equal(matrices_aligned[[j-1]], matrices_permut[[1]]) |
| 35 | |
| 36 | # 2bis] Call align function with mode=approx2 |
| 37 | matrices_aligned = |
| 38 | alignMatrices(matrices_permut[2:N], ref=matrices_permut[[1]], ls_mode="approx2") |
| 39 | |
| 40 | # 3bis] Check alignment |
| 41 | for (j in 2:N) |
| 42 | expect_equal(matrices_aligned[[j-1]], matrices_permut[[1]]) |
| 43 | } |
| 44 | }) |
| 45 | |
| 46 | test_that("labelSwitchingAlign correctly aligns noisy parameters", |
| 47 | { |
| 48 | N = 30 #number of matrices |
| 49 | d_K_list = list(c(2,2), c(5,3)) |
| 50 | for (i in 1:2) |
| 51 | { |
| 52 | d = d_K_list[[i]][1] |
| 53 | K = d_K_list[[i]][2] |
| 54 | max_error = d * 0.2 #TODO: what value to choose ? |
| 55 | |
| 56 | # 1] Generate matrix series |
| 57 | matrices_permut = .generateMatrices(d,K,N,noise=TRUE) |
| 58 | |
| 59 | # 2] Call align function |
| 60 | matrices_aligned = alignMatrices(matrices_permut, ref="mean", ls_mode="exact") |
| 61 | |
| 62 | # 3] Check alignment |
| 63 | for (j in 2:N) |
| 64 | { |
| 65 | expect_that( norm(matrices_aligned[[j]] - matrices_permut[[1]]), |
| 66 | is_less_than(max_error) ) |
| 67 | } |
| 68 | } |
| 69 | }) |