Package: datefixR 1.6.1.9000

datefixR: Standardize Dates in Different Formats or with Missing Data

There are many different formats dates are commonly represented with: the order of day, month, or year can differ, different separators ("-", "/", or whitespace) can be used, months can be numerical, names, or abbreviations and year given as two digits or four. 'datefixR' takes dates in all these different formats and converts them to R's built-in date class. If 'datefixR' cannot standardize a date, such as because it is too malformed, then the user is told which date cannot be standardized and the corresponding ID for the row. 'datefixR' also allows the imputation of missing days and months with user-controlled behavior.

Authors:Nathan Constantine-Cooke [aut, cre], Jonathan Kitt [ctb, trl], Antonio J. Pérez-Luque [ctb, trl], Daniel Possenriede [ctb, trl], Michal Lauer [ctb, trl], Kaique dos S. Alves [rev], Al-Ahmadgaid B. Asaad [rev], Anatoly Tsyplenkov [ctb, trl]

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datefixR/json (API)
NEWS

# Install datefixR in R:
install.packages('datefixR', repos = c('https://nathansam.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ropensci/datefixr/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • exampledates - Example dataset of dates in different formats

On CRAN:

dateswrangling

5 exports 32 stars 3.26 score 9 dependencies

Last updated 29 days agofrom:39f1a6706aa768cd8a2fb9da49d0f4d8ef325a41

Exports:fix_datefix_date_appfix_date_charfix_date_dffix_dates

Dependencies:cligluelifecyclemagrittrRcpprlangstringistringrvctrs

datefixR

Rendered fromdatefixR.Rmdusingknitr::rmarkdownon May 29 2024.

Last update: 2023-07-01
Started: 2021-11-13