Matlab: False nearest neighbours against time delay(repost)

This is a Matlab project: all you have to do is write an m file While in the nonlinear timeseries literature it is by now commonplace to plot average mutual information against time delay and the embedding dimension against the % of false nearest neighbours, to find the embedding parameters tau (for time delay) and m (for embedding dimension), I would need an m-file that plots time delay against % of false nearest neighbours. So the m-file needs to: 1) read in data 2) make a 3D plot of the embedding dimension (X-axis)? against the %FNN (Y-axis)? against the lag (Z-axis) There is plenty of code available of average mutual information plots against time lag, and of embedding dimension against % of FNN, so for an experienced coder this can't take over 15 minutes to put together