# pool.fv

##### Pool Several Functions

Combine several summary functions into a single function.

##### Usage

```
# S3 method for fv
pool(..., weights=NULL, relabel=TRUE, variance=TRUE)
```

##### Arguments

- …
Objects of class

`"fv"`

.- weights
Optional numeric vector of weights for the functions.

- relabel
Logical value indicating whether the columns of the resulting function should be labelled to show that they were obtained by pooling.

- variance
Logical value indicating whether to compute the sample variance and related terms.

##### Details

The function `pool`

is generic. This is the method for the
class `"fv"`

of summary functions. It is used to
combine several estimates of the same function into a single function.

Each of the arguments `…`

must be an object of class
`"fv"`

. They must be compatible,
in that they are estimates of the same function,
and were computed using the same options.

The sample mean and sample variance of the corresponding estimates will be computed.

##### Value

An object of class `"fv"`

.

##### See Also

##### Examples

```
# NOT RUN {
K <- lapply(waterstriders, Kest, correction="iso")
Kall <- pool(K[[1]], K[[2]], K[[3]])
Kall <- pool(as.anylist(K))
plot(Kall, cbind(pooliso, pooltheo) ~ r,
shade=c("loiso", "hiiso"),
main="Pooled K function of waterstriders")
# }
```

*Documentation reproduced from package spatstat, version 1.61-0, License: GPL (>= 2)*