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cbd88fe5 BA |
1 | context("alignMatrices") |
2 | ||
3 | # Helper to generate a random series of matrices to align | |
4 | .generateMatrices = function(d, K, N, noise) | |
5 | { | |
6dd5c2ac | 6 | matrices = list( matrix(runif(d*K, min=-1, max=1),ncol=K) ) #reference |
2b3a6af5 | 7 | for (i in 2:(N+1)) |
6dd5c2ac BA |
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 | |
cbd88fe5 BA |
14 | } |
15 | ||
16 | test_that("labelSwitchingAlign correctly aligns de-noised parameters", | |
17 | { | |
2b3a6af5 BA |
18 | N <- 30 #number of matrices |
19 | d_K_list <- list(c(2,2), c(5,3)) | |
6dd5c2ac BA |
20 | for (i in 1:2) |
21 | { | |
2b3a6af5 BA |
22 | d <- d_K_list[[i]][1] |
23 | K <- d_K_list[[i]][2] | |
cbd88fe5 | 24 | |
6dd5c2ac | 25 | # 1] Generate matrix series |
2b3a6af5 | 26 | Ms <- .generateMatrices(d, K, N, noise=FALSE) |
cbd88fe5 | 27 | |
6dd5c2ac | 28 | # 2] Call align function with mode=approx1 |
2b3a6af5 | 29 | aligned <- alignMatrices(Ms[2:(N+1)], ref=Ms[[1]], ls_mode="approx1") |
cbd88fe5 | 30 | |
6dd5c2ac | 31 | # 3] Check alignment |
2b3a6af5 BA |
32 | for (j in 1:N) |
33 | expect_equal(aligned[[j]], Ms[[1]]) | |
cbd88fe5 | 34 | |
6dd5c2ac | 35 | # 2bis] Call align function with mode=approx2 |
2b3a6af5 | 36 | aligned <- alignMatrices(Ms[2:(N+1)], ref=Ms[[1]], ls_mode="approx2") |
cbd88fe5 | 37 | |
6dd5c2ac | 38 | # 3bis] Check alignment |
2b3a6af5 BA |
39 | for (j in 1:N) |
40 | expect_equal(aligned[[j]], Ms[[1]]) | |
6dd5c2ac | 41 | } |
cbd88fe5 BA |
42 | }) |
43 | ||
44 | test_that("labelSwitchingAlign correctly aligns noisy parameters", | |
45 | { | |
2b3a6af5 BA |
46 | N <- 30 #number of matrices |
47 | d_K_list <- list(c(2,2), c(5,3)) | |
6dd5c2ac BA |
48 | for (i in 1:2) |
49 | { | |
2b3a6af5 BA |
50 | d <- d_K_list[[i]][1] |
51 | K <- d_K_list[[i]][2] | |
52 | max_error <- d * 0.2 #TODO: what value to choose ? | |
cbd88fe5 | 53 | |
6dd5c2ac | 54 | # 1] Generate matrix series |
2b3a6af5 | 55 | Ms <- .generateMatrices(d, K, N, noise=TRUE) |
cbd88fe5 | 56 | |
6dd5c2ac | 57 | # 2] Call align function |
2b3a6af5 | 58 | aligned <- alignMatrices(Ms[2:(N+1)], ref=Ms[[1]], ls_mode="exact") |
cbd88fe5 | 59 | |
6dd5c2ac BA |
60 | # 3] Check alignment |
61 | for (j in 2:N) | |
2b3a6af5 | 62 | expect_that( norm(aligned[[j]] - Ms[[1]]), is_less_than(max_error) ) |
6dd5c2ac | 63 | } |
cbd88fe5 | 64 | }) |