There is a nice tutorial on this:
http://adv-r.had.co.nz/OO-essentials.html
For an in depth guide, have a look at the book from John Chambers,
Software for data analysis programming with R.
On 13 June 2014 12:20, Luca Cerone <luca.cerone at gmail.com>
wrote:> Dear all,
>
> I am writing a script implementing a pipeline to analyze some of the
> data we receive.
>
> One of the steps in this pipeline involves clustering the data, and I
> am interested
> in studying the effects of different clustering algorithms on the final
results.
>
> I am having issues making my code general enough because the
> clustering algorithms we are interested all return different types of
> objects (S3, S4 and R5 classes, as well as simple named lists).
>
> >From the output of these algorithms I need to extract a list with as
many
> elements as the number of clusters and such that each element contains the
ids
> of the elements in each cluster.
>
> I have easily done this for each of the cluster algorithms,
> the problem is: how can I make so that rather than having to check for
> classes and
> types this is done automatically?
>
> For example, for the algorithms that return S3 classes I have defined
> a method "get_cluster_list.default" and then created the methods
for
> the individual classes, which is used in the main body of the
> pipeline.
>
> I have no idea how I can do this for S4 and R5 classes and, more
> importantly, I would
> like an approach that works when using all S3, S4 and R5 classes.
>
> Do you know how I could do this?
>
> Thanks for the help,
> Luca
>
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