# script to run the sensitivity analysis in parallel
# get argument passed from command line and store in tree_index
args <- commandArgs(TRUE)
args <- as.numeric(args)
tree_index <- args[1]
# load madagascar mammals species data table
data("madagascar_mammals", package = "DAISIEprepExtra")
# load the DNA only and complete posterior distribution of trees
phylos_dna <- ape::read.nexus(
file = system.file(
"extdata", "Upham_dna_posterior_100.nex",
package = "DAISIEprepExtra"
)
)
phylos_complete <- ape::read.nexus(
file = system.file(
"extdata", "Upham_complete_posterior_100.nex",
package = "DAISIEprepExtra"
)
)
sensitivity_dna <- DAISIEprep::sensitivity(
phylo = phylos_dna[[tree_index]],
island_species = madagascar_mammals,
extraction_method = c("min", "asr"),
asr_method = c("parsimony", "mk"),
tie_preference = c("mainland"),
island_age = 88,
num_mainland_species = c(1000),
verbose = TRUE
)
sensitivity_complete <- DAISIEprep::sensitivity(
phylo = phylos_complete[[tree_index]],
island_species = madagascar_mammals,
extraction_method = c("min", "asr"),
asr_method = c("parsimony", "mk"),
tie_preference = c("mainland"),
island_age = 88,
num_mainland_species = c(1000),
verbose = TRUE
)
sensitivity <- list(
sensitivity_dna = sensitivity_dna,
sensitivity_complete = sensitivity_complete
)
output_name <- paste0("sensitivity_tree_index_", tree_index, ".rds")
output_folder <- file.path("results")
output_file_path <- file.path(output_folder, output_name)
saveRDS(object = sensitivity, file = output_file_path)
message("Finished")
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