split out a scientific input column to pieces

This function attempts to split a scientific name into it's component pieces. Given an input scientific, or scientific with scientific authorities and infraspecies this function will parse them into the columns used in the BarnebyLives pipeline.

Usage

split_scientificName(x, sciName_col, overwrite)

Arguments

x

Dataframe with collection information.

sciName_col

Character. Column containing the data to parse

overwrite

Boolean. Whether to overwrite the original input columns, or simply append the spell checked columns.

Examples

library(BarnebyLives)
ce <- collection_examples[
 sample(1:nrow(collection_examples), 25),
]

split_scientificName(ce, sciName_col = 'Full_name') |> head()
#> # A tibble: 6 × 73
#>   Collection_number Primary_Collector Associated_Collectors Project_Accession_No
#>               <dbl> <chr>             <chr>                 <chr>               
#> 1              2879 Reed Clark Benke… NA                    NA                  
#> 2              2833 Reed Clark Benke… Linda Martin, Payton… NA                  
#> 3              2823 Reed Clark Benke… NA                    NA                  
#> 4              2922 Reed Clark Benke… NA                    NA                  
#> 5              2895 Reed Clark Benke… Payton Lott           NA                  
#> 6              2920 Reed Clark Benke… NA                    NA                  
#> # ℹ 69 more variables: Full_name <chr>, Binomial_authority_issues <chr>,
#> #   Infrarank <chr>, Infra_auth_issues <chr>, Family <chr>, Project_name <chr>,
#> #   Site_name <chr>, latitude_dd <dbl>, longitude_dd <dbl>, Datum <chr>,
#> #   Coordinate_Uncertainty <chr>, Directions <chr>, Vegetation <chr>,
#> #   Associates <chr>, Habitat <chr>, Fide <chr>, Determined_by <chr>,
#> #   Aspect <chr>, Slope <dbl>, Notes <chr>, Tissue_collections <dbl>,
#> #   Date_digital <chr>, Date_digital_dmy <dttm>, Date_digital_day <dbl>, …