Combine Function Value Tables
Advanced Use Only.
Combine objects of class "fv"
,
or glue extra columns of data onto an existing "fv"
object.
## S3 method for class 'fv' cbind(...) bind.fv(x, y, labl = NULL, desc = NULL, preferred = NULL, clip=FALSE)
... |
Any number of arguments, which are objects of class |
x |
An object of class |
y |
Either a data frame or an object of class |
labl |
Plot labels (see |
desc |
Descriptions (see |
preferred |
Character string specifying the column which is to be the new recommended value of the function. |
clip |
Logical value indicating whether each object must have exactly the
same domain, that is, the same sequence of values of the function argument
( |
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.
An object of class "fv"
.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.
Undocumented functions for modifying an "fv"
object
include fvnames
, fvnames<-
,
tweak.fv.entry
and rebadge.fv
.
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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