spatstat (version 1.23-1)

bind.fv: Combine Function Value Tables

Description

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.

Value

• An object of class "fv".

Details

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 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 datasetyis an object of class"fv", thenxandymust be compatible as described above. Then the columns ofythat contain function values will be appended to the objectx.
• Alternatively ifyis a data frame, thenymust have the same number of rows asx. All columns ofywill be appended tox.

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.

See Also

fv, with.fv.

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")