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#'
#' unstack.R
#'
#' Methods for generic 'unstack'
#'
#' $Revision: 1.6 $ $Date: 2020/11/30 09:40:56 $
unstack.ppp <- unstack.psp <-
unstack.tess <- function(x, ...) {
trap.extra.arguments(...)
marx <- marks(x)
d <- dim(marx)
if(is.null(d)) return(solist(x))
y <- rep(list(unmark(x)), d[2])
for(j in seq_along(y))
marks(y[[j]]) <- marx[,j,drop=FALSE]
names(y) <- colnames(marx)
return(as.solist(y))
}
unstackFilter <- function(x) {
## deal with a whole swag of classes that do not need to be unstacked
nonvectorclasses <- c("im", "owin", "quad",
"quadratcount", "quadrattest",
"funxy", "distfun", "nnfun",
"linnet", "linfun",
"influence.ppm", "leverage.ppm")
y <- if(inherits(x, nonvectorclasses)) solist(x) else unstack(x)
return(y)
}
unstack.solist <- function(x, ...) {
trap.extra.arguments(...)
y <- lapply(x, unstackFilter)
z <- as.solist(unlist(y, recursive=FALSE))
return(z)
}
unstack.layered <- function(x, ...) {
trap.extra.arguments(...)
y <- lapply(x, unstackFilter)
ny <- lengths(y)
nx <- length(ny)
if(all(ny == 1) || nx == 0) return(solist(x))
pax <- layerplotargs(x)
pay <- rep(pax, times=ny)
z <- unlist(y, recursive=FALSE)
z <- layered(LayerList=z, plotargs=pay)
return(z)
}
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