# bind.fv

##### Combine Function Value Tables

Advanced Use Only.
Combine objects of class `"fv"`

,
or glue extra columns of data onto an existing `"fv"`

object.

##### Usage

```
## S3 method for class 'fv':
cbind(...)
bind.fv(x, y, labl = NULL, desc = NULL, preferred = NULL)
```

##### Arguments

- ...
- Any number of arguments, which are objects of class
`"fv"`

. - x
- An object of class
`"fv"`

. - y
- Either a data frame or an object of class
`"fv"`

. - labl
- Plot labels (see
`fv`

) for columns of`y`

. A character vector. - desc
- Descriptions (see
`fv`

) for columns of`y`

. A character vector. - preferred
- Character string specifying the column which is to be the new recommended value of the function.

##### Details

This documentation is provided
for experienced programmers who want to modify the internal
behaviour of

The function `cbind.fv`

is a method for the generic
Rfunction `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`

.

`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.
##### Value

- An object of class
`"fv"`

.

##### See Also

*Undocumented* functions for modifying an `"fv"`

object
include `fvnames`

, `fvnames<-`

,
`tweak.fv.entry`

and `rebadge.fv`

.

##### Examples

```
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")
```

*Documentation reproduced from package spatstat, version 1.41-1, License: GPL (>= 2)*