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

Given a spatial pattern on a network, with several columns of marks, take one column at a time, and return a list of spatial patterns each having only one column of marks.

1 2 3 4 5 |

`x` |
A spatial point pattern
(object of class |

`...` |
Ignored. |

The functions defined here are methods for the generic
`unstack`

. The functions expect a spatial object
`x`

which has several columns of marks; they separate the columns,
and return a list of spatial objects, each having only one column of marks.

If `x`

has several columns of marks (i.e. `marks(x)`

is a
matrix, data frame or hyperframe with several columns),
then `y <- unstack(x)`

is a list of spatial objects, each of the same
kind as `x`

. The `j`

th entry `y[[j]]`

is equivalent to
`x`

except that it only includes
the `j`

th column of `marks(x)`

.

If `x`

has no marks, or has only a single column of marks,
the result is a list consisting of one entry, which is `x`

.

A list, of class `"solist"`

, whose entries are objects of the
same type as `x`

.

.

See also methods for the generic `split`

such as
`split.ppx`

which applies to `"lpp"`

objects.

1 2 3 | ```
X <- runiflpp(5, simplenet)
marks(X) <- data.frame(id=1:5, code=factor(letters[1:5]))
unstack(X)
``` |

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