[R] Generate positive definite matrix with constraints
Gabor Grothendieck
ggrothendieck at gmail.com
Sun May 19 23:47:45 CEST 2013
On Sun, May 19, 2013 at 5:04 PM, Gabor Grothendieck
<ggrothendieck at gmail.com> wrote:
> On Sun, May 19, 2013 at 4:57 PM, Gabor Grothendieck
> <ggrothendieck at gmail.com> wrote:
>> On Sun, May 19, 2013 at 10:33 AM, mary <mary.dama at libero.it> wrote:
>>>
>>> Sorry in the previuos message I've inverted: I would like generate ...
>>> "same eigenvectors and different eigenvalues"
>>
>> Try this:
>>
>> m0 <- 5 + matrix(c(.05, -.05, -.05, .05), 2)
>> m0.values <- eigen(m0)$values
>> with(eigen(matrix(rnorm(4), 2)), vectors %*% diag(m0.values) %*% solve(vectors))
>
> I think I reversed it too. If that's not it try this:
>
> m0.vectors <- eigen(m0)$vectors
> with(eigen(matrix(rnorm(4), 2)), m0.vectors %*% diag(values) %*%
> solve(m0.vectors.0))
>
That did not take into account the positive definite requirement. Try this:
m0.vectors <- eigen(m0)$vectors
t.m0.vectors <- t(m0.vectors)
n <- 3 # no of samples
tmp <- apply(rWishart(n, 2, diag(2)), 3, function(w) list(m0.vectors
%*% diag(eigen(w)$values) %*% t.m0.vectors))
simplify2array(tmp)
The result is a list of matrices.
--
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email: ggrothendieck at gmail.com
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