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-rw-r--r--src/lapack.cpp9
-rw-r--r--src/mvlmm.cpp10
-rwxr-xr-xtest/dev_test_suite.sh8
3 files changed, 20 insertions, 7 deletions
diff --git a/src/lapack.cpp b/src/lapack.cpp
index eb5b16b..31b6add 100644
--- a/src/lapack.cpp
+++ b/src/lapack.cpp
@@ -253,8 +253,10 @@ double EigenDecomp(gsl_matrix *G, gsl_matrix *U, gsl_vector *eval,
return d;
}
-// Same as EigenDecomp but zeroes eigenvalues close to zero. When
-// negative eigenvalues remain a warning is issued.
+// Does NOT set eigenvalues to be positive. G gets destroyed. Returns
+// eigen trace and values in U and eval (eigenvalues). Same as
+// EigenDecomp but zeroes eigenvalues close to zero. When negative
+// eigenvalues remain a warning is issued.
double EigenDecomp_Zeroed(gsl_matrix *G, gsl_matrix *U, gsl_vector *eval,
const size_t flag_largematrix) {
EigenDecomp(G,U,eval,flag_largematrix);
@@ -262,7 +264,8 @@ double EigenDecomp_Zeroed(gsl_matrix *G, gsl_matrix *U, gsl_vector *eval,
int count_zero_eigenvalues = 0;
int count_negative_eigenvalues = 0;
for (size_t i = 0; i < eval->size; i++) {
- if (std::abs(gsl_vector_get(eval, i)) < EIGEN_MINVALUE)
+ // if (std::abs(gsl_vector_get(eval, i)) < EIGEN_MINVALUE)
+ if (gsl_vector_get(eval, i) < 1e-10)
gsl_vector_set(eval, i, 0.0);
// checks
if (gsl_vector_get(eval,i) == 0.0)
diff --git a/src/mvlmm.cpp b/src/mvlmm.cpp
index a3c7c85..4b8db05 100644
--- a/src/mvlmm.cpp
+++ b/src/mvlmm.cpp
@@ -256,7 +256,15 @@ double EigenProc(const gsl_matrix *V_g, const gsl_matrix *V_e, gsl_vector *D_l,
gsl_blas_dgemm(CblasNoTrans, CblasNoTrans, 1.0, V_e_hi, VgVehi, 0.0, Lambda);
// Eigen decomposition of Lambda.
- EigenDecomp_Zeroed(Lambda, U_l, D_l, 0);
+ EigenDecomp(Lambda, U_l, D_l, 0);
+
+ for (size_t i = 0; i < d_size; i++) {
+ d = gsl_vector_get(D_l, i);
+ if (d < 0) {
+ gsl_vector_set(D_l, i, 0);
+ }
+ }
+
// Calculate UltVeh and UltVehi.
gsl_blas_dgemm(CblasTrans, CblasNoTrans, 1.0, U_l, V_e_h, 0.0, UltVeh);
diff --git a/test/dev_test_suite.sh b/test/dev_test_suite.sh
index 0992635..34a1576 100755
--- a/test/dev_test_suite.sh
+++ b/test/dev_test_suite.sh
@@ -158,15 +158,17 @@ testPlinkUnivariateLinearMixedModelLOCO1() {
testCorrelatedPhenotypesMvLLM() {
+ # https://github.com/genetics-statistics/GEMMA/issues/179
+ outn=corrpheno
$gemma $gemmaopts -p data/correlated_phenotypes/Ysim_reg_gemma.txt \
-g data/correlated_phenotypes/Genotypes_gemma.csv \
-d data/correlated_phenotypes/Kinship_eigenval_gemma.txt \
-u data/correlated_phenotypes/Kinship_eigenvec_gemma.txt \
- -lmm 2 -n 1 9 4 6 10 -o corrpheno
+ -lmm 2 -n 1 9 4 6 10 -o $outn
assertEquals 0 $?
- # outfn=output/$outn.assoc.txt
+ outfn=output/$outn.assoc.txt
# assertEquals "68" `wc -l < $outfn`
- # assertEquals "15465346.22" `perl -nle 'foreach $x (split(/\s+/,$_)) { $sum += sprintf("%.2f",(substr($x,,0,6))) } END { printf "%.2f",$sum }' $outfn`
+ assertEquals "777.32" `perl -nle 'foreach $x (split(/\s+/,$_)) { $sum += sprintf("%.2f",(substr($x,,0,6))) } END { printf "%.2f",$sum }' $outfn`
}