Pool Several Functions
Combine several summary functions into a single function.
## S3 method for class 'fv' pool(..., weights=NULL, relabel=TRUE, variance=TRUE)
... |
Objects of class |
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. |
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.
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.
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")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.