Replace tabs by 2spaces

[morpheus.git] / pkg / tests / testthat / test-jointDiag.R

diff --git a/pkg/tests/testthat/test-jointDiag.R b/pkg/tests/testthat/test-jointDiag.R
index 0eb6ffd..bb12a6c 100644 (file)
--- a/pkg/tests/testthat/test-jointDiag.R
+++ b/pkg/tests/testthat/test-jointDiag.R
@@ -3,48 +3,48 @@ context("jointDiag::ajd")
 #auxiliary to test diagonality
 .computeMuCheckDiag = function(X, Y, K, jd_method, β_ref)
 {
-       d = ncol(X)
-       #TODO: redundant code, same as computeMu() main method. Comments are stripped
-       M3 = .Moments_M3(X,Y)
-       M2_t = array(dim=c(d,d,d))
-       for (i in 1:d)
-       {
-               ρ = c(rep(0,i-1),1,rep(0,d-i))
-               M2_t[,,i] = .T_I_I_w(M3,ρ)
-       }
-       jd = jointDiag::ajd(M2_t, method=jd_method)
-       V = if (jd_method=="uwedge") jd$B else solve(jd$A)
-       M2_t = array(dim=c(d,d,K))
-       for (i in 1:K)
-               M2_t[,,i] = .T_I_I_w(M3,V[,i])
-       #END of computeMu() code
+  d = ncol(X)
+  #TODO: redundant code, same as computeMu() main method. Comments are stripped
+  M3 = .Moments_M3(X,Y)
+  M2_t = array(dim=c(d,d,d))
+  for (i in 1:d)
+  {
+    ρ = c(rep(0,i-1),1,rep(0,d-i))
+    M2_t[,,i] = .T_I_I_w(M3,ρ)
+  }
+  jd = jointDiag::ajd(M2_t, method=jd_method)
+  V = if (jd_method=="uwedge") jd$B else solve(jd$A)
+  M2_t = array(dim=c(d,d,K))
+  for (i in 1:K)
+    M2_t[,,i] = .T_I_I_w(M3,V[,i])
+  #END of computeMu() code
 
-       max_error = 0.5 #TODO: tune ?
-       invβ = MASS::ginv(β_ref)
-       for (i in 1:K)
-       {
-               shouldBeDiag = invβ %*% M2_t[,,i] %*% t(invβ)
-               expect_that(
-                       mean( abs(shouldBeDiag[upper.tri(shouldBeDiag) | lower.tri(shouldBeDiag)]) ),
-                       is_less_than(max_error) )
-       }
+  max_error = 0.5 #TODO: tune ?
+  invβ = MASS::ginv(β_ref)
+  for (i in 1:K)
+  {
+    shouldBeDiag = invβ %*% M2_t[,,i] %*% t(invβ)
+    expect_that(
+      mean( abs(shouldBeDiag[upper.tri(shouldBeDiag) | lower.tri(shouldBeDiag)]) ),
+      is_less_than(max_error) )
+  }
 }
 
 test_that("'jedi' and 'uwedge' joint-diagonalization methods return a correct matrix",
 {
-       n = 10000
-       d_K = list( c(2,2), c(5,3), c(20,13) )
+  n = 10000
+  d_K = list( c(2,2), c(5,3), c(20,13) )
 
-       for (dk_index in 1:length(d_K))
-       {
-               d = d_K[[dk_index]][1]
-               K = d_K[[dk_index]][2]
-               #NOTE: sometimes large errors if pr is not balanced enough (e.g. random);
-               #      same note for β. However we could be more random than that...
-               β_ref = rbind(diag(K),matrix(0,nrow=d-K,ncol=K))
-               io = generateSampleIO(n, p=rep(1/K,K-1), β=β_ref, rep(0,K), link="logit")
-               .computeMuCheckDiag(io$X, io$Y, K, jd_method="uwedge", β_ref)
-               #TODO: some issues with jedi method (singular system)
-               #.computeMuCheckDiag(io$X, io$Y, K, jd_method="jedi", β_ref)
-       }
+  for (dk_index in 1:length(d_K))
+  {
+    d = d_K[[dk_index]][1]
+    K = d_K[[dk_index]][2]
+    #NOTE: sometimes large errors if pr is not balanced enough (e.g. random);
+    #      same note for β. However we could be more random than that...
+    β_ref = rbind(diag(K),matrix(0,nrow=d-K,ncol=K))
+    io = generateSampleIO(n, p=rep(1/K,K-1), β=β_ref, rep(0,K), link="logit")
+    .computeMuCheckDiag(io$X, io$Y, K, jd_method="uwedge", β_ref)
+    #TODO: some issues with jedi method (singular system)
+    #.computeMuCheckDiag(io$X, io$Y, K, jd_method="jedi", β_ref)
+  }
 })