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

[Martin Maechler]

>>>>> "Gabor" == Gabor Grothendieck <ggrothendieck at myway.com>
>>>>>     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)  # http://popgen.unimaas.nl/~jlindsey/rcode.html
    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

library(Matrix)
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.