Divide a Measure into Parts
Decomposes a measure into components, each component being a measure.
## S3 method for class 'msr' split(x, f, drop = FALSE, ...)
x |
Measure (object of class |
f |
Factor or tessellation determining the decomposition.
Argument passed to |
drop |
Logical value indicating whether empty components should be retained
in the list ( |
... |
Ignored. |
An object of class "msr" represents a signed (i.e. real-valued)
or vector-valued measure in the spatstat package.
See msr for explanation.
This function is a method for the generic
split. It divides the measure x into
components, each of which is a measure.
A measure x is represented in spatstat by
a finite set of sample points with values attached to them.
The function split.msr divides this pattern of sample points
into several sub-patterns of points using split.ppp.
For each sub-pattern, the values attached to these points are
extracted from x, and these values and sample points
determine a measure, which is a
component or piece of the original x.
The argument f can be missing, if the sample points of x
are multitype points. In this case, x represents a measure
associated with marked spatial locations, and the command split(x)
separates x into a list of component measures, one for each
possible mark.
A list, each of whose entries is a measure (object of class
"msr").
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk
## split by tessellation a <- residuals(ppm(cells ~ x)) aa <- split(a, dirichlet(runifpoint(4))) aa sapply(aa, integral) ## split by type of point b <- residuals(ppm(amacrine ~ marks + x)) bb <- split(b) bb
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