The classifly package uses rggobi to visualise classification boundaries in high-dimensions. Given p-dimensional training data containing d groups (the design space), a classification algorithm (classifier) predicts which group new data belongs to. Generally the input to these algorithms is high dimensional, and the boundaries between groups will be high dimensional and perhaps curvilinear or multi-facted. This R package provides methods for visualising the division of space between the groups. More information and a paper describing the ideas can be found at http://had.co.nz/classifly/. Regards, Hadley _______________________________________________ R-packages mailing list R-packages at stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-packages