# Libraries required for the following two examples
library(dplyr)
library(purrr)
# Look up the ger_nfi_2012 species codes for all supported species
# the column species_id contains the ger_nfi_2012 codes
species_codings |>
filter(species_coding == "ger_nfi_2012") |>
pluck(2, 1) |>
arrange(as.numeric(species_id)) |> # just for the look of it
print(n = Inf)
# Display a summary table which shows the number of single species behind
# each ger_nfi_2012 species code
species_codings |>
filter(species_coding == "ger_nfi_2012") |>
pluck(2, 1) |>
group_by(name_eng, species_id) |> # display english names
summarise(n = n()) |>
arrange(as.numeric(species_id)) |> # just for the look of it
print(n = Inf)
# Make an fe_species_ger_nfi_2012 vector from a vector of integer codes
spec_ids <- fe_species_ger_nfi_2012(
c(10, 10, 10, 100, 100, 100, 100, 20, 20, 190, 290, 190)
)
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