Simone,
On Wed, Mar 18, 2009 at 1:16 PM, simone gabbriellini
<address@hidden> wrote:
Dear List,
I see that it is always advisable to use cumulative log-log plot,
like the
one on the igraph screenshot page
I think this is not _always_ the case. If you have a power-law or
exponential distribution, then the cumulative distribution is a
power-law/exponential, too; and the cumulative distribution has less
fluctuations usually.
(http://igraph.sourceforge.net/screenshots2.html#8), when
investigating for
power law distributions...
I was wondering how to build a cumulative distribution of
eigenvalues.
using for example:
eigen<-evcent(g, scale=TRUE, weights = E(g)$weights)
eigenvector<-eigen$vector
dd<-as.numeric(table(eigenvector))
dd<-dd/sum(dd)
I have a non cumulative distribution. How to make it cumulative?
rev(cumsum(rev(dd)))
Gabor
best regards,
Simone
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Gabor Csardi <address@hidden> UNIL DGM
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