# collapse.fv

##### Collapse Several Function Tables into One

Combines several function tables (objects of class `"fv"`

)
into a single function table, merging columns that are identical
and relabelling columns that are different.

##### Usage

`collapse.fv(..., same = NULL, different = NULL)`

##### Arguments

- ...
- Arguments which are objects of class
`"fv"`

, or a list of objects of class`"fv"`

. - same
- Character string or character vector specifying a column or columns,
present in each
`"fv"`

object, that are identical in each object. This column or columns will be included only once. - different
- Character string or character vector specifying a column or columns,
present in each
`"fv"`

object, that contain different values in each object. Each of these columns of data will be included, with labels that distinguish them from

##### Details

This command combines the data in several function tables
(objects of class `"fv"`

, see `fv.object`

)
to make a single function table.
It is essentially a smart wrapper for
`cbind.fv`

.

A typical application is to calculate the same summary statistic
(such as the $K$ function) for different point patterns,
and then to use `collapse.fv`

to combine the results into a
single object that can easily be plotted. See the Examples.
The arguments `...`

should be function tables
(objects of class `"fv"`

, see `fv.object`

)
that are compatible in the sense that they
have the same values of the function argument.

The argument `same`

identifies any columns that are present
in each function table, and which are known to contain exactly
the same values in each table. This column or columns will be
included only once in the result.

The argument `different`

identifies any columns that are present
in each function table, and which contain different numerical values
in each table. Each of these columns will be included, with labels
to distinguish them.

Columns that are not named in `same`

or `different`

will not
be included.

##### Value

- Object of class
`"fv"`

.

##### See Also

##### Examples

```
# generate simulated data
X <- replicate(3, rpoispp(100), simplify=FALSE)
names(X) <- paste("Simulation", 1:3)
# compute K function estimates
Klist <- lapply(X, Kest)
# collapse
K <- collapse.fv(Klist, same="theo", different="iso")
K
```

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