Hi Coline,
Matrix symmetry is not about row- and colnames but about testing, for a square
matrix X, if X[i, j] == X[j, i] for all i and j = 1, ..., n. I've just had a
look at the code of isSymmetrix.matrix() and this is done by testing equality
of X and t(X), so effectively making a copy of X
Dear Emmanual,
Thank you for your response! I have checked your code, and I get the following:
matrix_dissim_Eucl<-as.matrix(mat_dissim_Eucl)
any(is.complex(matrix_dissim_Eucl))
#FALSE
isSymmetric.matrix(matrix_dissim_Eucl)
# Error: cannot allocate vector of size 811.1Mb
So I
Hi Coline,
Actually the test would be:
any(is.complex(mat_dissim_Eucl))
And you may also test:
isSymmetric(as.matrix(mat_dissim_Eucl))
But it'd very surprising this 2nd test returns FALSE.
So if your matrix is real and symmetric, I don't see why you have complex
eigenvalues from its
Dear Emmanual,
Thank you for your email. I have been trying to understand what is going on and
if your suggestion is correct. However, if I test for complex numbers in my
dissimilarity matrix (converted to a matrix:
is.complex(as.matrix(mat_dissim_Eucl)) ) R gives me the result FALSE. That
