search for: neightbours

...in igraph. So my questions are: 1) What do I need to do to obtain the scores for the links instead of the nodes (I presume it must be a data preparation step that I must be missing out)? 2) Which R package would be the best for running the various techniques - Jackard index, Adamic-Adar, common neightbours, PropFlow, etc 3) How to implement a supervised learning method such as random forest (I am guessing I need to obtain a feature list but again, how can I get the scores for the edges)? Hope I've explain my questions well but do let me know if more clarification is need. Thanks in advance...

Is there a way to make a shading interpolation on an image plot? Something similar to matlab 'shading interp', I think it is called Gouraud shading. What I want is to make a image plot look nicer. with image() it looks very facetted, and I would like to make it look smoother. I've tried with interp.surface() in fields package but it (obviously) makes nan values at the borders and