Description Usage Arguments Details Value Author(s) References See Also Examples

This function generates a sample hyperplane data set.

1 | ```
shpd(n,m=2,Rsq=0.7,Ri=0)
``` |

`n` |
number of sample points to generate |

`m` |
a hyperplane of dimension m-1 will be generated in m space |

`Rsq` |
the desired coefficient of determination for the hyperplane, indicates how far data points will vary from the plane. |

`Ri` |
correlation coefficient for "independent"" variables within the hyperplane |

Scatters data around the hyperplane: Vm = sum(V1...Vm-1) + noise where noise is adjusted so that the final dataset has coefficient of determination equal to Rsq. Variables V1..Vm-1 are assumed to be independent but the user can make them dependent on each other by setting the Vi parameter away from zero.

Returns a n x m data set

Ben Murrell, Dan Murrell & Hugh Murrell.

Discovering general multidimensional associations, http://arxiv.org/abs/1303.1828

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