count_missing_species {DAISIEprep}

Reads in the checklist of all species on an island, including those that are not in the phylogeny (represented by NA) and counts the number of species missing from the phylogeny each genus

Description

Reads in the checklist of all species on an island, including those that are not in the phylogeny (represented by NA) and counts the number of species missing from the phylogeny each genus

Usage

count_missing_species(
  checklist,
  phylo_name_col,
  genus_name_col,
  in_phylo_col,
  endemicity_status_col,
  rm_species_col = NULL
)

Arguments

checklist

data frame with information on species on the island

phylo_name_col

A character string specifying the column name where the names in the phylogeny are in the checklist

genus_name_col

A character string specifying the column name where the genus names are in the checklist

in_phylo_col

A character string specifying the column name where the status of whether a species is in the phylogeny is in the checklist

endemicity_status_col

A character string specifying the column name where the endemicity status of the species are in the checklist

rm_species_col

A character string specifying the column name where the information on whether to remove species from the checklist before counting the number of missing species is in the checklist. This can be NULL if no species are to be removed from the checklist. This is useful when species are in the checklist because they are on the island but need to be removed as they are not in the group of interest, e.g. a migratory bird amongst terrestrial birds

Value

Data frame

Examples

mock_checklist <- data.frame(
  genus = c("bird", "bird", "bird", "bird", "bird", "bird", "bird",
            "bird", "bird", "bird"),
  species = c("a", "b", "c", "d", "e", "f", "g", "h", "i", "j"),
  species_names = c("bird_a", "bird_b", "bird_c", "bird_d", "bird_e",
                    "bird_f","bird_g", "bird_h", "bird_i", "bird_j"),
  sampled = c(TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE),
  endemicity_status = c("endemic", "endemic", "endemic", "nonendemic",
                        "endemic", "nonendemic", "endemic", "endemic",
                        "endemic", "endemic"),
  remove_species = (rep(FALSE, 10))
)

missing_species <- count_missing_species(
  checklist = mock_checklist,
  phylo_name_col = "species_names",
  genus_name_col = "genus",
  in_phylo_col = "sampled",
  endemicity_status_col = "endemicity_status",
  rm_species_col = NULL
)