Nothing
occupancy_to_union <- function(hv_list, method = "all", m = 2, tol = 1e-10){
# check method
if(! any(identical(method, "all") | identical(method, "n_wise"))){
stop("method can be all or n_wise")
}
# unshared volume makes no sense for single hypervolumes
if(inherits(hv_list, "Hypervolume")){
stop("A HypervolumeList object is needed")
}
if(inherits(hv_list, "HypervolumeList")){
# check construction method, it needs to be n_occupancy
hyper_methods <- sapply(hv_list@HVList, function(x) x@Method)
if(any(! hyper_methods %in% c("n_occupancy", "n_occupancy_test", "occupancy_to_intersection", "occupancy_to_unshared"))){
stop("Construction method must be n_occupancy, n_occupancy_test, occupancy_to_intersection or occupancy_to_unshared")
}
if(identical(method, "all")){
# get volume of the hyper list and try to reconstruct the volume of the union
# the reconstruction is made for each hypervolume in the hypervolume list
vols <- get_volume(hv_list)
#all_length <- length(hv_list@HVList[[1]]@ValueAtRandomPoints)
combine_vrp <- lapply(hv_list@HVList, function(x) x@ValueAtRandomPoints)
combine_vrp <- do.call(cbind, combine_vrp)
zeroes_check <- apply(combine_vrp, 1, function(x) sum(abs(x)))
all_length <- sum(zeroes_check != 0)
i_length <- unlist(lapply(hv_list@HVList, function(z) sum(z@ValueAtRandomPoints != 0)))
all_vol <- vols*all_length/i_length
# extract data
all_data <- lapply(hv_list@HVList, function(x) x@Data)
all_data <- do.call(rbind, all_data)
all_data <- unique(all_data)
rownames(all_data) <- NULL
# if reconstructed volume differs above a certain threshold stop the function
if(any(dist(all_vol) > tol)){
stop("The reconstruction of the total volume failed. Try to: \n
\t 1. Increase the tolerance if results satisfy your needs. \n
\t 2. Check the accuracy of the results of hypervolume_n_occupancy. \n
Contact the maintener if none of the above applies to you.")
}
all_occupancy <- do.call(cbind, lapply(hv_list@HVList, function(z) z@ValueAtRandomPoints))
all_occupancy[all_occupancy != 0] <- 1
res <- apply(all_occupancy, 1, sum)
res[res > 0] <- 1
# create a temporary hypervolume to store the results of the loop
temp_hyper <- hv_list@HVList[[1]]
temp_hyper@ValueAtRandomPoints <- res
temp_hyper@Volume <- all_vol[1] * sum(res) / length(res)
temp_hyper@Method <- "occupancy_to_union"
temp_hyper@Name <- "union"
temp_hyper@Data <- all_data
temp_hyper@Parameters <- list()
pt_d <- sum(res)/temp_hyper@Volume
names(pt_d) <- NULL
temp_hyper@PointDensity <- pt_d
hv_list <- temp_hyper
}
if(identical(method, "n_wise")){
# get volume of the hyper list and try to reconstruct the volume of the union
# the reconstruction is made for each hypervolume in the hypervolume list
vols <- get_volume(hv_list)
#all_length <- length(hv_list@HVList[[1]]@ValueAtRandomPoints)
combine_vrp <- lapply(hv_list@HVList, function(x) x@ValueAtRandomPoints)
combine_vrp <- do.call(cbind, combine_vrp)
zeroes_check <- apply(combine_vrp, 1, function(x) sum(abs(x)))
all_length <- sum(zeroes_check != 0)
i_length <- unlist(lapply(hv_list@HVList, function(z) sum(z@ValueAtRandomPoints != 0)))
all_vol <- vols*all_length/i_length
# if reconstructed volume differs above a certain threshold stop the function
if(any(dist(all_vol) > tol)){
stop("The reconstruction of the total volume failed. Try to: \n
\t 1. Increase the tolerance if results satisfy your needs. \n
\t 2. Check the accuracy of the results of hypervolume_n_occupancy. \n
Contact the maintener if none of the above applies to you.")
}
# Extract occupancy values
all_occupancy <- do.call(cbind, lapply(hv_list@HVList, function(z) z@ValueAtRandomPoints))
all_occupancy[all_occupancy != 0] <- 1
# extract the names of individual hypervolumes
hyper_names <- sapply(hv_list@HVList, function(x) x@Name)
# sanity checks on m
if(m > ncol(all_occupancy)){
stop("m cannot be greater than the number of hypervolume in the HypervolumeList")
}
if(m < 2){
stop("m cannot be lower than 2")
}
# create combinations and the name combination
combn_hyper <- combn(length(hv_list@HVList), m)
combn_names <- combn(hyper_names, m)
if(m > 2){
comb_names <- apply(combn_names, 2, function(x) paste(abbreviate(x, minlength = 3), collapse = "_"))
} else{
comb_names <- apply(combn_names, 2, function(x) paste(x, collapse = "_") )
}
# create a temporary hypervolume to store the results of the loop
temp_hyper <- hv_list@HVList[[1]]
# create a list to store the results of the loop
hv_temp <- list()
for(i in 1:ncol(combn_names)){
temp_combn <- all_occupancy[, combn_hyper[, i], drop = FALSE]
res <- apply(temp_combn, 1, sum)
res[res > 0] <- 1
combn_data <- lapply(combn_hyper[, i], function(x) hv_list@HVList[[x]]@Data)
combn_data <- do.call(rbind, combn_data)
combn_data <- unique(combn_data)
rownames(combn_data) <- NULL
temp_hyper@ValueAtRandomPoints <- res
temp_hyper@Volume <- all_vol[1] * sum(res) / length(res)
temp_hyper@Method <- "occupancy_to_union"
temp_hyper@Name <- comb_names[i]
temp_hyper@Data <- combn_data
temp_hyper@Parameters <- list()
pt_d <- sum(res)/temp_hyper@Volume
names(pt_d) <- NULL
temp_hyper@PointDensity <- pt_d
hv_temp[[i]] <- temp_hyper
}
hv_list <- hypervolume_join(hv_temp)
if(length(hv_list@HVList) == 1){
hv_list <- hv_list@HVList[[1]]
}
}
}
hv_list
}
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