Compute a kernel smoothed intensity function for each of the components of a split point pattern, or each of the point patterns in a list.
# S3 method for splitppp
density(x, ..., weights=NULL, se=FALSE) # S3 method for ppplist
density(x, ..., weights=NULL, se=FALSE)
A list of pixel images (objects of class "im"
)
which can be plotted or printed;
or a list of numeric vectors giving the values at specified points.
If se=TRUE
, the result is a list with two elements named
estimate
and SE
, each of the format described above.
Split point pattern (object of class "splitppp"
created by split.ppp
) to be smoothed.
Alternatively a list of point patterns,
of class "ppplist"
.
Arguments passed to density.ppp
to control
the smoothing, pixel resolution, edge correction etc.
Numerical weights for the points. See Details.
Logical value indicating whether to compute standard errors as well.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.
This is a method for the generic function density
.
The argument x
should be a list of point patterns,
and should belong to one of the classes
"ppplist"
or "splitppp"
.
Typically x
is obtained by applying
the function split.ppp
to a point pattern y
by calling split(y)
. This splits the points of y
into several
sub-patterns.
A kernel estimate of the intensity function of each of the
point patterns is computed using density.ppp
.
The return value is usually a list, each of whose entries is a
pixel image (object of class "im"
). The return value
also belongs to the class "solist"
and can be plotted
or printed.
If the argument at="points"
is given, the result is a list
of numeric vectors giving the intensity values at the data points.
If se=TRUE
, the result is a list with two elements named
estimate
and SE
, each of the format described above.
The argument weights
specifies numerical case weights
for the data points.
Normally it should be a list, with the same length as
x
. The entry weights[[i]]
will determine the
case weights for the pattern x[[i]]
, and may be given in
any format acceptable to density.ppp
.
For example, weights[[i]]
can be
a numeric vector of length equal to npoints(x[[i]])
,
a single numeric value, a numeric matrix,
a pixel image (object of class "im"
),
or an expression
.
For convenience, weights
can also be a single expression
or a single pixel image (object of class "im"
).
ppp.object
,
im.object
Z <- density(split(amacrine), 0.05)
plot(Z)
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