partition {delt} | R Documentation |

## Finds the partition generated by an evaluation tree

### Description

Finds the partition generated by an evaluation tree.
An evaluation tree makes a recursive partition of a rectangle.
Functions "eval.cart", "densplit",... return evaluation trees.

### Usage

partition(et, grid=TRUE, zerorecs=FALSE)

### Arguments

`et` |
an evaluation tree;
output of "eval.cart", "densplit", ... |

`grid` |
TRUE or FALSE;
whether the true coordinates or relative coordinates are used |

`zerorecs` |
TRUE or FALSE;
whether the rectangles where the density vanishes are included;
(evaluation trees are used by package "delt" to represent
density functions) |

### Value

Returns a list with the following elements.

`values ` |
vector whose lenght is equal to the number of
rectangles in the partition; value of the function on
the corresponding rectangle |

`recs` |
recnum*(2*d) matrix; recnum is the number of
rectangles in the partition and d is the dimension of the
observations. The rows of "recs" describe the rectangles.
Column (2*j-1) gives the lower value for the j:th interval
and (2*j):th column gives upper value for the j:th interval,
j=1,...,d. |

`support` |
the rectangle which is partitioned |

### Author(s)

Jussi Klemela

### See Also

`plotparti`

,

### Examples

dendat<-sim.data(n=200,seed=5,type="mulmodII")
et<-densplit(dendat)
pa<-partition(et)
plotparti(pa)

[Package

*delt* version 0.8.0

Index]