Separate Multiple Columns of Marks
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.
## S3 method for class 'lpp' unstack(x, ...) ## S3 method for class 'lintess' unstack(x, ...)
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 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.
A list, of class "solist", whose entries are objects of the
same type as x.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.
X <- runiflpp(5, simplenet) marks(X) <- data.frame(id=1:5, code=factor(letters[1:5])) unstack(X)
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