correct_class: gatoRs Download - Correct classes of data frame columns
In gatoRs: Geographic and Taxonomic Occurrence R-Based Scrubbing

correct_class

R Documentation

gatoRs Download - Correct classes of data frame columns

Description

The correct_class() function corrects the classes of each column in a data frame of your queried species. This function requires no additional packages.

Usage

correct_class(
  df,
  scientific.name = "scientificName",
  genus = "genus",
  species = "specificEpithet",
  infraspecific.epithet = "infraspecificEpithet",
  id = "ID",
  occ.id = "occurrenceID",
  basis.of.record = "basisOfRecord",
  event.date = "eventDate",
  year = "year",
  month = "month",
  day = "day",
  inst.code = "institutionCode",
  recorded.by = "recordedBy",
  country = "country",
  county = "county",
  state = "stateProvince",
  locality = "locality",
  latitude = "latitude",
  longitude = "longitude",
  coord.uncertainty = "coordinateUncertaintyInMeters",
  info.withheld = "informationWithheld",
  habitat = "habitat",
  aggregator = "aggregator"
)

Arguments

`df`	Data frame returned by `gator_download()`.
`scientific.name`	Default = "scientificName". The name of the scientificName column in the data frame.
`genus`	Default = "genus". The name of the genus column in the data frame.
`species`	Default = "specificEpithet". The name of the specificEpithet column in the data frame.
`infraspecific.epithet`	Default = "infraspecificEpithet". The name of the infraspecificEpithet column in the data frame.
`id`	Default = "ID". The name of the id column in the data frame, which contains unique IDs defined from GBIF (keys) or iDigBio (UUID).
`occ.id`	Default = "occurrenceID". The name of the occurrenceID column in the data frame.
`basis.of.record`	Default = "basisOfRecord". The name of the basis of record column in the data frame.
`event.date`	Default = "eventDate". The name of the event date column in the data frame.
`year`	Default = "year". The name of the year column in the data frame.
`month`	Default = "month". The name of the month column in the data frame.
`day`	Default = "day". The name of the day column in the data frame.
`inst.code`	Default = "institutionCode". The name of the institution code column in the data frame.
`recorded.by`	Default = "recordedBy". The recordedBy column in the data frame.
`country`	Default = "country". The name of the country column in the data frame.
`county`	Default = "county". The name of the county column in the data frame.
`state`	Default = "stateProvince". The name of the state/province column in the data frame.
`locality`	Default = "locality". The name of the locality column in the data frame.
`latitude`	Default = "latitude". The name of the latitude column in the data frame.
`longitude`	Default = "longitude". The name of the longitude column in the data frame.
`coord.uncertainty`	Default = "coordinateUncertaintyInMeters". The name of the coordinate uncertainty column in the data frame.
`info.withheld`	Default = "informationWithheld". The name of the information withheld column in the data frame.
`habitat`	Default = "habitat". The name of the habitat column in the data frame.
`aggregator`	Default = "aggregator". The name of the column in the data frame that identifies the aggregator that provided the record. This is equal to iDigBio or GBIF.