Re: [R] To convert an adjacency list model into a nested set model

From: Martin Maechler <>
Date: Wed 09 Mar 2005 - 20:14:34 EST

>>>>> "Gabor" == Gabor Grothendieck <>
>>>>> on Tue, 8 Mar 2005 17:19:12 +0000 (UTC) writes:


    Gabor> This is not a direct answer to getting a nesting from
    Gabor> an adjacency but the following is easy to do and
    Gabor> gives all the same info.

    Gabor> Note that if A is the adjacency matrix of children
    Gabor> (rows) and ] parents (columns) then A^n is the matrix
    Gabor> defining ancestors n generations away and exp(A) is a
    Gabor> weighted version of that with A^i weighted by i!     Gabor> (These expressions are mathematics, not R.) Thus:

    Gabor> empf <- factor(emp, level = union(emp, boss)) # emp as factor     Gabor> bossf <- factor(boss, level = union(emp, boss)) # ditto for boss

    Gabor> adj <- table(empf, bossf) # i,j is 1 if j is boss of i

    Gabor> library(rmutil) #     Gabor> mexp(adj, type = "series") - diag(length(empf))

just a note on the matrix exponential:

The Matrix package (from CRAN) now also has the matrix exponential, expm(.) ,
using the ''least dubious '' algorithm of

  Moler, C. and Van Loan C. (2003)
  "Ninteen dubious ways to compute the exponential of a    matrix, twenty-five years later".
  SIAM review 45, 3--49

namely the one also in use by Matlab and Octave

So the above would be something like

expm( as(adj, "dgeMatrix") ) - as(diag(length(empf)), "dgeMatrix")

    Gabor> giving a matrix whose i,j-th entry is 1/n! if j is     Gabor> n-generations above i.

    Gabor> From that you can get the info you need. mailing list PLEASE do read the posting guide! Received on Wed Mar 09 20:18:21 2005

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