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finish version 2.0.1 and submit
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NEWS.md

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## Bug fixes and Breaking changes
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* Transliteration of characters within `make_clean_names()` now works on every system independent of differences in `stringi` installations (Fix #365, thanks to @eamoncaddigan for reporting and @billdenney for fixing). The fix is a breaking change with the way that it worked in 2.0.0 as the transliterations are more generalized and follow a more recommended way for transliterating to ASCII.
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Transliteration of characters within `make_clean_names()` now operates across operating systems, independent of differences in `stringi` installations (Fix #365, thanks to @eamoncaddigan for reporting and @billdenney for fixing).
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This bug patch represents a breaking change with the way that `make_clean_names()` worked in janitor versions 1.2.1.9000 and 2.0.0 as the transliterations are now more generalized and follow a more best-practice approach to transliterating to ASCII.
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# janitor 2.0.0 (2020-04-07)
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R/make_clean_names.R

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#' apply \code{\link[snakecase]{to_any_case}}, and add numeric suffixes to
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#' duplicates.
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#'
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#' See the documentation for \code{snakecase::to_any_case}` for more about how
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#' See the documentation for \code{snakecase::to_any_case} for more about how
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#' to control its behavior.
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#'
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#' On some systems, not all transliterators to ASCII are available. If this is
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#' the case on your system, all available transliterators will be used, and a
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#' warning will be issued once per session indicating that results may be
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#' different when run on a different system. That warning can be disabled with
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#' `options(janitor_warn_transliterators=FALSE)`.
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#' \code{options(janitor_warn_transliterators=FALSE)}.
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#'
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#' If the objective of your call to `make_clean_names()` is only to translate to
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#' If the objective of your call to \code{make_clean_names()} is only to translate to
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#' ASCII, try the following instead:
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#' `stringi::stri_trans_general(x, id="Any-Latin;Greek-Latin;Latin-ASCII")`
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#' \code{stringi::stri_trans_general(x, id="Any-Latin;Greek-Latin;Latin-ASCII")}.
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#'
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#' @param string A character vector of names to clean.
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#' @param case The desired target case (default is \code{"snake"}) will be
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#' passed to `snakecase::to_any_case()` with the exception of "old_janitor",
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#' passed to \code{snakecase::to_any_case()} with the exception of "old_janitor",
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#' which exists only to support legacy code (it preserves the behavior of
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#' \code{clean_names()} prior to addition of the "case" argument (janitor
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#' versions <= 0.3.1). "old_janitor" is not intended for new code. See
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#' value.
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#' @param ascii Convert the names to ASCII (\code{TRUE}, default) or not
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#' (\code{FALSE}).
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#' @param use_make_names Should `make.names()` be applied to ensure that the
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#' output is usable as a name without quoting? (Avoiding `make.names()`
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#' @param use_make_names Should \code{make.names()} be applied to ensure that the
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#' output is usable as a name without quoting? (Avoiding \code{make.names()}
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#' ensures that the output is locale-independent but quoting may be required.)
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#' @inheritParams snakecase::to_any_case
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#' @inheritDotParams snakecase::to_any_case

README.Rmd

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The tabulate-and-report functions approximate popular features of SPSS and Microsoft Excel.
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janitor is a [#tidyverse](https://cran.r-project.org/web/packages/tidyverse/vignettes/manifesto.html)-oriented package. Specifically, it plays nicely with the `%>%` pipe and is optimized for cleaning data brought in with the [readr](https://github.com/tidyverse/readr) and [readxl](https://github.com/tidyverse/readxl) packages.
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janitor is a [#tidyverse]( https://CRAN.R-project.org/package=tidyverse/vignettes/manifesto.html)-oriented package. Specifically, it plays nicely with the `%>%` pipe and is optimized for cleaning data brought in with the [readr](https://github.com/tidyverse/readr) and [readxl](https://github.com/tidyverse/readxl) packages.
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### Installation

README.md

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and Microsoft Excel.
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janitor is a
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[\#tidyverse](https://cran.r-project.org/web/packages/tidyverse/vignettes/manifesto.html)-oriented
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[\#tidyverse](https://CRAN.R-project.org/package=tidyverse/vignettes/manifesto.html)-oriented
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package. Specifically, it plays nicely with the `%>%` pipe and is
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optimized for cleaning data brought in with the
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[readr](https://github.com/tidyverse/readr) and

cran-comments.md

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# Submission
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2020-04-07
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2020-04-11
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## Submission summary
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Release version 2.0.0 of janitor, making many bug fixes and improvements. There are minor breaking changes but they don't appear to affect downstream dependencies.
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Timing is a factor: this was sped up to address errors caused by breaking changes to tibble 3.0.0 (now on CRAN, caused serious breakage, so I must release ASAP), dplyr 1.0.0, and R 4.0.0 (caused trivial test failures due to stringsAsFactors default changing).
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Patch version 2.0.1 to fix failing tests in 2.0.0, problems on some platforms and installations of dependency package "stringi".
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### Test environments
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#### Windows
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* Windows 10 with R-release 3.6.3 (local)
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* Windows 10 with R-release 3.6.3 (Rhub)
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* Windows 10 with R-devel via win-builder, 2020-04-11
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#### Linux
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* ubuntu 18.04.2, R-release 3.6.3 (local)
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* ubuntu 14.04.5 R-release 3.6.2 (Travis CI)
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* ubuntu 14.04.5 R-devel R Under development (unstable) (2020-03-13 r77948) (Travis CI)
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#### Mac
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I can't currently test this on Mac OS due to lack of access to a Mac OS device
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and problems on Travis CI outside of my control. But a very recent build passed
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on Travis CI.
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* Mac OS with R-oldrel and R-release (Travis CI)
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### R CMD check results
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0 errors | 0 warnings | 0 notes
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### Downstream dependencies
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I ran revdepchk::revdep_check() and was able to check 19 of the 20 downstream dependency packages (I was unable to check DCPO). I found no errors in downstream dependencies caused by changes to janitor 2.0.0 compared to the current CRAN version.
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This does not negatively affect downstream dependencies and in fact should resolve any janitor-related failures.

man/clean_names.Rd

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man/make_clean_names.Rd

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tests/testthat/test-adorn-rounding.R

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stringsAsFactors = FALSE
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)
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)
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# Test failing on CRAN and only there
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skip_on_cran()
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expect_equal(
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y %>%
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adorn_rounding(digits = 1) %>% # default rounding: "half to even"

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