Advanced Use Only.
Combine objects of class "fv"
,
or glue extra columns of data onto an existing "fv"
object.
# S3 method for fv
cbind(...)
bind.fv(x, y, labl = NULL, desc = NULL, preferred = NULL, clip=FALSE)
Any number of arguments, which are objects of class "fv"
.
An object of class "fv"
.
Either a data frame or an object of class "fv"
.
Plot labels (see fv
) for columns of y
.
A character vector.
Descriptions (see fv
)
for columns of y
. A character vector.
Character string specifying the column which is to be the new recommended value of the function.
Logical value indicating whether each object must have exactly the
same domain, that is, the same sequence of values of the function argument
(clip=FALSE
, the default) or whether objects with different
domains are permissible and will be restricted
to a common domain (clip=TRUE
).
An object of class "fv"
.
This documentation is provided for experienced programmers who want to modify the internal behaviour of spatstat.
The function cbind.fv
is a method for the generic
R function cbind
. It combines any number of
objects of class "fv"
into a single object of
class "fv"
. The objects must be compatible, in the sense
that they have identical values of the function argument.
The function bind.fv
is a lower level
utility which glues additional columns onto an
existing object x
of class "fv"
.
It has two modes of use:
If the additional dataset y
is an object of class "fv"
, then
x
and y
must be compatible as described above.
Then the columns of y
that contain function values
will be appended to the object x
.
Alternatively if y
is a data frame, then y
must have the
same number of rows as x
. All columns of y
will be
appended to x
.
The arguments labl
and desc
provide
plot labels and description strings (as described in fv
)
for the new columns. If y
is an object of class
"fv"
then labl
and desc
are optional, and
default to the relevant entries in the object y
.
If y
is a data frame then
labl
and desc
must be provided.
Undocumented functions for modifying an "fv"
object
include fvnames
, fvnames<-
,
tweak.fv.entry
and rebadge.fv
.
# NOT RUN {
data(cells)
K1 <- Kest(cells, correction="border")
K2 <- Kest(cells, correction="iso")
# remove column 'theo' to avoid duplication
K2 <- K2[, names(K2) != "theo"]
cbind(K1, K2)
bind.fv(K1, K2, preferred="iso")
# constrain border estimate to be monotonically increasing
bm <- cumsum(c(0, pmax(0, diff(K1$border))))
bind.fv(K1, data.frame(bmono=bm),
"%s[bmo](r)",
"monotone border-corrected estimate of %s",
"bmono")
# }
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