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cran submission 0.6.3
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DESCRIPTION

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Type: Package
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Package: datawizard
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Title: Easy Data Wrangling and Statistical Transformations
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Version: 0.6.2.5
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Version: 0.6.3
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Authors@R: c(
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person("Indrajeet", "Patil", , "patilindrajeet.science@gmail.com", role = c("aut", "cre"),
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comment = c(ORCID = "0000-0003-1995-6531", Twitter = "@patilindrajeets")),

NEWS.md

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# datawizard (development version)
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# datawizard 0.6.3
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MAJOR CHANGES
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* There is a new publication about the `{datawizard}` package:
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Patil et al. (2022) <doi:10.21105/joss.04684>.
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* `data_to_long()` and `data_to_wide()` have had significant performance improvements,
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sometimes as high as a ten-fold speedup.
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* There is a new publication about the `{datawizard}` package:
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<https://joss.theoj.org/papers/10.21105/joss.04684>
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* Fixes failing tests due to changes in `R-devel`.
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* `data_to_long()` and `data_to_wide()` have had significant performance
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improvements, sometimes as high as a ten-fold speedup.
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MINOR CHANGES
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* When column names are misspelled, most functions now suggest which
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existing columns possibly could be meant.
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* When column names are misspelled, most functions now suggest which existing
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columns possibly could be meant.
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* Miscellaneous performance gains.
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* `convert_to_na()` now requires argument `na` to be of class 'Date' to
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convert specific dates to `NA`. For example, `convert_to_na(x, na = "2022-10-17")` must be changed to `convert_to_na(x, na = as.Date("2022-10-17"))`.
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* `convert_to_na()` now requires argument `na` to be of class 'Date' to convert
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specific dates to `NA`. For example, `convert_to_na(x, na = "2022-10-17")`
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must be changed to `convert_to_na(x, na = as.Date("2022-10-17"))`.
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BUG FIXES
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* `data_to_long()` and `data_to_wide()` now correctly keep the `date` format.
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# datawizard 0.6.2
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BREAKING CHANGES

cran-comments.md

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0 errors | 0 warnings | 0 note
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* Maintenance release.
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* Fixes failing tests.
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## revdepcheck results
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vignettes/standardize_data.Rmd

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This vignette can be referred to by citing the following:
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Patil et al., (2022). datawizard: An R Package for Easy Data Preparation and Statistical Transformations. *Journal of Open Source Software*, *7*(78), 4684, https://doi.org/10.21105/joss.04684
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> Patil et al., (2022). datawizard: An R Package for Easy Data Preparation and Statistical Transformations. *Journal of Open Source Software*, *7*(78), 4684, https://doi.org/10.21105/joss.04684
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# Introduction
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- `datawizard::demean()`: <https://easystats.github.io/datawizard/reference/demean.html>
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- `standardize_parameters(method = "pseudo")` for mixed-effects models
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<https://easystats.github.io/parameters/articles/model_parameters_standardized.html>
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<https://easystats.github.io/parameters/articles/standardize_parameters_effsize.html>
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# References

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