Create a complete and uniform taxonomy dataframe.

This function normalizes the taxonomy returned by the EPPO service, producing a uniform structure that includes all possible taxonomic categories, even when some of them are not present in the original result.

Usage

uniformTaxonomy(taxonomyData)

Arguments

taxonomyData

tibble. A dataframe containing taxonomy data provided by the EPPO service for a given EPPO code.

Value

A dataframe where each row represents one of the expected taxonomic ranks. Fields corresponding to ranks not present in the original taxonomy are filled with NA. The level column is excluded from the output. The column queried_eppo_code NA values are filled with the right code.

Details

The function uses an internal set of known taxonomic ranks and performs a left join with the taxonomy dataframe, filling missing ranks with NA. After the join, the column level from the original taxonomy is removed, since the rank order is fully defined by the internal reference list. The column queried_eppo_code NA values are filled with the right code.

Examples

if (FALSE) { # \dontrun{
# Retrieve taxonomy data from the EPPO service.
taxonData_ <- taxon(eppoCodes = c("BEMITA"), services = c("taxonomy"))

# Create a uniform taxonomy with all ranks.
taxonomyData_ <- uniformTaxonomy(taxonomyData = taxonData_$taxonomy)
} # }