Description Usage Arguments Details Value Author(s) See Also Examples
Divides a multidimensional point pattern into several sub-patterns, according to their marks, or according to any user-specified grouping.
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x |
A multi-dimensional point pattern.
An object of class |
f |
Data determining the grouping. Either a factor, or the name of one of the columns of marks. |
drop |
Logical. Determines whether empty groups will be deleted. |
un |
Logical. Determines whether the resulting subpatterns will be unmarked (i.e. whether marks will be removed from the points in each subpattern). |
... |
Other arguments are ignored. |
The generic command split
allows a dataset to be separated
into subsets according to the value of a grouping variable.
The function split.ppx
is a method for the generic
split
for the class "ppx"
of multidimensional
point patterns. It divides up the points of the point pattern x
into several sub-patterns according to the values of f
.
The result is a list of point patterns.
The argument f
may be
a factor, of length equal to the number of points in x
.
The levels of f
determine the destination of each point in x
.
The i
th point of x
will be placed in the sub-pattern
split.ppx(x)$l
where l = f[i]
.
a character string, matching the name of one of the columns of
marks, if marks(x)
is a data frame. This column should
be a factor.
If f
is missing, then it will be determined by the
marks of the point pattern. The pattern x
can be either
a multitype point pattern
(a marked point pattern whose marks vector is a factor).
Then f
is taken to be the marks vector.
The effect is that the points of each type
are separated into different point patterns.
a marked point pattern with a data frame or hyperframe
of marks, containing at least one
column that is a factor. The first such column will be used to
determine the splitting factor f
.
Some of the sub-patterns created by the split
may be empty. If drop=TRUE
, then empty sub-patterns will
be deleted from the list. If drop=FALSE
then they are retained.
The argument un
determines how to handle marks
in the case where x
is a marked point pattern.
If un=TRUE
then the marks of the
points will be discarded when they are split into groups,
while if un=FALSE
then the marks will be retained.
If f
and un
are both missing,
then the default is un=TRUE
for multitype point patterns
and un=FALSE
for marked point patterns with a data frame of
marks.
The result of split.ppx
has class "splitppx"
and "anylist"
. There are methods for print
,
summary
and plot
.
A list of point patterns.
The components of the list are named by the levels of f
.
The list also has the class "splitppx"
and "anylist"
.
and \rolf
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