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.
Version: |
1.1.0 |
Depends: |
R (≥ 4.0.0) |
Imports: |
lifecycle, rlang, stringr |
Suggests: |
DT, htmltools, knitr, readxl, rmarkdown, shiny, shinytest, spelling, testthat (≥ 3.0.0), withr |
Published: |
2022-08-12 |
Author: |
Nathan Constantine-Cooke
[aut, cre],
Kaique dos S. Alves
[rev],
Al-Ahmadgaid B. Asaad
[rev] |
Maintainer: |
Nathan Constantine-Cooke <nathan.constantine-cooke at ed.ac.uk> |
BugReports: |
https://github.com/ropensci/datefixR/issues |
License: |
GPL (≥ 3) |
URL: |
https://docs.ropensci.org/datefixR/,
https://github.com/ropensci/datefixR |
NeedsCompilation: |
no |
Language: |
en-US |
Citation: |
datefixR citation info |
Materials: |
README NEWS |
CRAN checks: |
datefixR results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=datefixR
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