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Combine several summary functions into a single function.
# S3 method for fv
pool(..., weights=NULL, relabel=TRUE, variance=TRUE)
Objects of class "fv"
.
Optional numeric vector of weights for the functions.
Logical value indicating whether the columns of the resulting function should be labelled to show that they were obtained by pooling.
Logical value indicating whether to compute the sample variance and related terms.
An object of class "fv"
.
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.
# 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")
# }
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