Re: [igraph] leading.eigenvector.community function

[Gábor Csárdi]

YEah, that is a mess.

It is not so easy to change to just NA (or just NULL), because it will
not be compatible.

So maybe we should introduce a completely new mechanism, and switch to
that. That at least does not give you the illusion is that it works
when it does not.

Do you want to open a GitHub issue for this?

Gabor

On Thu, May 25, 2017 at 11:05 AM, Edmund Hunt <address@hidden> wrote:
> Ah I see, thank you Szabolcs!
>
> I am using several clustering methods available in igraph at once to compare
> outputs, so this is completely inconsistent between methods!!!
>
> cluster_edge_betweenness - uses NULL to omit edge weights
> cluster_fast_greedy - uses NULL to omit edge weights (though it is not clear
> on this point?)
> cluster_label_prop - uses NA, but in the ‘usage’ states NULL
> cluster_leading_eigen - uses NA, but in the ‘usage’ states NULL
> cluster_louvain - uses NA, but in the ‘usage’ states NULL
> cluster_optimal - uses NA, but in the ‘usage’ states NULL
> cluster_walktrap - does not provide any guidance, I assumed NULL was used
> cluster_spinglass - uses NA, but usage states NULL
>
> I am still quite new to R so perhaps the ‘usage’ is meant to be read
> differently, but I thought it meant NULL could be used as a meaningful input
>
> Please could this be fixed so there is a uniform and clear approach in the
> next update to igraph, as it is very confusing at present
>
> Thanks,
>
> Edmund
>