[R] [SPAM] - constructing arbitrary (positive definite) covariance matrix - Found word(s) list error in the Text body

[davidr at rhotrading.com]

Well, if you think about the geometry, all correlations equal usually
won't work. Think of the SDs as the sides of a simplex and the
correlations as the cosines of the angles between the sides (pick one
variable as the 'origin'.) Only certain values will give a valid
covariance or correlation matrix.
HTH,
David L. Reiner, PhD
Head Quant
Rho Trading Securities, LLC
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of Mizanur Khondoker
Sent: Thursday, June 26, 2008 11:11 AM
To: r-help at r-project.org
Subject: [SPAM] - [R] constructing arbitrary (positive definite)
covariance matrix - Found word(s) list error in the Text body

Dear list,

I am trying to use the  'mvrnorm'  function from the MASS package for
simulating multivariate Gaussian data with given covariance matrix.
The diagonal elements of my covariance matrix should be the same,
i.e., all variables have the same marginal variance. Also all
correlations between all pair of variables should be identical, but
could be any value in [-1,1]. The problem I am having is that the
matrix I create is not always positive definite (and hence mvrnorm
fails).

Is there any simple way of constructing covariance matrix of the above
structure (equal variance, same pairwise correlation from [-1, 1])
that will always be positive definite?
I have noticed that covraince matrices created using the following COV
function are positive definite for  -0.5 < r <1. However, for  r <
-0.5, the matrix is not positive definite.
Does anyone have any idea why this is the case?  For my simualtion, I
need to generate multivariate data for the whole range of r,  [-1, 1]
for a give value of sd.

Any help/ suggestion would be greatly appreciated.

Examples
########
COV<-function (p = 3, sd = 1, r= 0.5){
    cov <- diag(sd^2, ncol=p, nrow=p)
    for (i in 1:p) {
        for (j in 1:p) {
            if (i != j) {
                cov[i, j] <- r * sd*sd
            }
        }
    }
   cov
}

> library(MASS)
> ### Simualte multivarite gaussin data (works OK)
> Sigma<-COV(p = 3, sd = 2, r= 0.5)
> mu<-1:3
> mvrnorm(5, mu=mu, Sigma=Sigma)
          [,1]     [,2]     [,3]
[1,] 1.2979984 1.843248 4.460891
[2,] 2.1061054 1.457201 3.774833
[3,] 2.1578538 2.761939 4.589977
[4,] 0.8775056 4.240710 2.203712
[5,] 0.2698180 2.075759 2.869573
>
> ### Simualte multivarite gaussin data ( gives Error)
> Sigma<-COV(p = 3, sd = 2, r= -0.6)
> mu<-1:3
> mvrnorm(5, mu=mu, Sigma=Sigma)
Error in mvrnorm(5, mu = mu, Sigma = Sigma) :
  'Sigma' is not positive definite

-- 
Mizanur Khondoker
Division of Pathway Medicine (DPM)
The University of Edinburgh Medical School
The Chancellor's Building
49 Little France Crescent
Edinburgh EH16 4SB
United Kingdom

Tel: +44 (0) 131 242 6287
Fax: +44 (0) 131 242 6244
http://www.pathwaymedicine.ed.ac.uk/

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