unstack.lpp {spatstat.linnet}

Separate Multiple Columns of Marks

Description

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.

Usage

## S3 method for class 'lpp'
unstack(x, ...)

## S3 method for class 'lintess'
unstack(x, ...)

Arguments

x

A spatial point pattern (object of class "lpp") or a tessellation on a linear network (object of class "lintess").

...

Ignored.

Details

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 jth entry y[[j]] is equivalent to x except that it only includes the jth 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.

Value

A list, of class "solist", whose entries are objects of the same type as x.

Author(s)

Adrian Baddeley [e-mail], Rolf Turner [e-mail] and Ege Rubak [e-mail].

See Also

unstack

unstack.ppp, unstack.msr.

See also methods for the generic split such as split.ppx which applies to "lpp" objects.

Examples

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