numberize is an R package to convert numbers written as English, French or Spanish words from "zero"
to "nine hundred and ninety nine trillion, nine hundred and ninety nine billion, nine hundred and ninety nine million, nine hundred and ninety nine thousand, nine hundred and ninety nine"
to positive integer values.
numberize is developed at the Centre for the Mathematical Modelling of Infectious Diseases at the London School of Hygiene and Tropical Medicine as part of the Epiverse-TRACE program.
Example
These examples illustrate the current functionality.
library("numberize")
# numberize a French string
numberize("zéro", lang = "fr")
#> [1] 0
# numberize a Spanish string
numberize("Siete mil quinientos cuarenta y cinco", lang = "es")
#> [1] 7545
# numberize the English string "nine hundred and ninety-nine trillion, nine hundred and ninety-nine billion, nine hundred and ninety-nine million, nine hundred and ninety-nine thousand, nine hundred and ninety-nine" # nolint: line_length_linter.
formatC(numberize("nine hundred and ninety-nine trillion, nine hundred and ninety-nine billion, nine hundred and ninety-nine million, nine hundred and ninety-nine thousand, nine hundred and ninety-nine"), big.mark = ",", format = "fg") # nolint: line_length_linter.
#> [1] "999,999,999,999,999"
# some edge cases
numberize("veintiún", lang = "es")
#> [1] 21
numberize("veintiuno", lang = "es")
#> [1] 21
# convert a vector of written values
numberize(
text = c(17, "dix", "soixante-cinq", "deux mille vingt-quatre", NA),
lang = "fr"
)
#> [1] 17 10 65 2024 NA
Related packages and Limitations
-
{numberwang}
converts numbers to words and vice versa. Limitation: English only, not on CRAN. -
{nombre}
converts numerics into words. Limitation: English only, no word to number conversion. -
{english}
converts numerics into words. Limitation: English only, no word to number conversion. -
{spanish}
converts numbers to words and vice versa. Limitation: Spanish only.
numberize is released as a standalone package in the hope that it will be useful to the R community at large. numberize was created in response to data cleaning requirements in {cleanepi}.
Lifecycle
This package is currently stable, as defined by the RECON software lifecycle.
Contributions
Contributions are welcome via pull requests.
Code of Conduct
Please note that the numberize project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.