classificationNetwork: Visualize a (mis)classification network.
In stnava/RKRNS: ANTsR Decoding

Description Usage Arguments Value Author(s) Examples

Input a prediction and an outcome vector that are in correspondence, get out a graph.

1 2	classificationNetwork(nodesIn, realClass, predClass, whichviz = "force", outfile = "temp.html", zoom = F, opac = 0.8, mycharge = -400)

`mat`	input matrix
`k`	rank to use
`reducex`	reduce the input matrix to k-size subspace

matrix is output

Avants BB

## Not run: 
  sentencesubset <- sentencedf$sentences %in% unique(fspacenames[redlist[l2]])
  nodedf <- data.frame( nodename=sentencedf[sentencesubset,1], nodeid=sentencedf[sentencesubset,2] )
  ww <- misclassnetwork( nodesIn=nodedf, wclassesf[l2], pred, outfile='temp2.html', mycharge=-2066, zoom=T)

## End(Not run)