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Hello, I am just a beginner of R 1.9.0. I try to construct a predictive score for the development of liver cancer in cirrhotic patients. So dependant variable is binanry (cancer yes or no). Independant variables are biological data. The aim is to find out a cut-off value which differentiate (theoratically) from normal to pathological state for each biological data. How can I step in procedue to

Dear all I am so glad the R can provide the efficient calculate about eigenvector and eigenvalue. However, i have some puzzle about the procedure of eigen. Fristly, what kind of procedue does the R utilize such that the eigen are obtained? For example, A=matrix(c(1,2,4,3),2,2) we can define the eigenvalue lamda, such as det | 1-lamda 4 | =0 | 2 3-lamda | then

Dear experts, when trying to estimate an kernel density function with density(x) I get the following error message with imported data from either EXCEL or text files: Error in density(spr) : argument must be numeric. Other procedues such as truehist work. If I generate data within R density works fine. Does anybody have an idea? Yours -- Christoph Hanck Wissenschaftliche Hilfskraft

On Sun, Nov 07 2010 at 6:05pm -0500, Andi Kleen <andi@firstfloor.org> wrote: > On Sun, Nov 07, 2010 at 10:39:23PM +0100, Milan Broz wrote: > > On 11/07/2010 08:45 PM, Andi Kleen wrote: > > >> I read about barrier-problems and data getting to the partition when > > >> using dm-crypt and several layers so I don''t know if that could be > >