Package: messy
Title: Create Messy Data from Clean Data Frames
Version: 0.1.0.9003
Authors@R: c(
    person(given = "Nicola", family = "Rennie", role = c("aut", "cre", "cph"),
    email = "nrennie35@gmail.com", comment = c(ORCID = "0000-0003-4797-557X")))
Description: For the purposes of teaching, it is often desirable to
        show examples of working with messy data and how to clean it.
        This R package creates messy data from clean, tidy data frames
        so that students have a clean example to work towards.
Depends: R (>= 4.1)
Imports: dplyr, rlang, stringr
License: CC BY 4.0
Suggests: lubridate, testthat (>= 3.0.0)
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Config/Needs/website: nrennie/nrenniepkgdown
URL: https://nrennie.rbind.io/messy/, https://github.com/nrennie/messy
BugReports: https://github.com/nrennie/messy/issues
Config/pak/sysreqs: libicu-dev
Repository: https://nrennie.r-universe.dev
Date/Publication: 2025-08-29 18:09:12 UTC
RemoteUrl: https://github.com/nrennie/messy
RemoteRef: HEAD
RemoteSha: 7cd51711094b8db0d40c268d367d81cb051a78a3
NeedsCompilation: no
Packaged: 2026-07-03 17:11:50 UTC; root
Author: Nicola Rennie [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-4797-557X>)
Maintainer: Nicola Rennie <nrennie35@gmail.com>