[R] Need Advice on Matrix Not Positive Semi-Definite with cholesky decomposition
Ravi Varadhan
RVaradhan at jhmi.edu
Wed Apr 1 16:26:35 CEST 2009
Look at the nearPD() function in the package "Matrix".
require(Matrix)
?nearPD
In particular, pay attention to the arguments "eig.tol" and "posd.tol",
which you can tweak to define how much "positiveness" you would like to
have.
Ravi.
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Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvaradhan at jhmi.edu
Webpage: http://www.jhsph.edu/agingandhealth/People/Faculty/Varadhan.html
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-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
Behalf Of Gottlieb, Neil
Sent: Wednesday, April 01, 2009 9:57 AM
To: 'r-help at r-project.org'
Subject: [R] Need Advice on Matrix Not Positive Semi-Definite with cholesky
decomposition
Dear fellow R Users:
I am doing a Cholesky decomposition on a correlation matrix and get error
message the matrix is not semi-definite.
Does anyone know:
1- a work around to this issue?
2- Is there any approach to try and figure out what vector might be
co-linear with another in thr Matrix?
3- any way to perturb the data to work around this?
Thanks for any suggestions.
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