datawizard: Easy Data Wrangling and Statistical Transformations

A lightweight package to easily manipulate, clean, transform, and prepare your data for analysis. It also forms the data wrangling backend for the packages in the 'easystats' ecosystem.

Version: 0.5.0
Depends: R (≥ 3.5)
Imports: insight (≥ 0.18.0), stats, utils
Suggests: bayestestR, boot, brms, data.table, dplyr, effectsize, gamm4, ggplot2, haven, httr, knitr, lme4, mediation, parameters, poorman, psych, readxl, readr, rio, rmarkdown, rstanarm, see, testthat (≥ 3.0.0), tidyr, withr
Published: 2022-08-07
Author: Indrajeet Patil ORCID iD [aut, cre] (@patilindrajeets), Dominique Makowski ORCID iD [aut] (@Dom_Makowski), Daniel Lüdecke ORCID iD [aut] (@strengejacke), Mattan S. Ben-Shachar ORCID iD [aut], Brenton M. Wiernik ORCID iD [aut] (@bmwiernik), Etienne Bacher ORCID iD [aut]
Maintainer: Indrajeet Patil < at>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en-US
Citation: datawizard citation info
Materials: README NEWS
CRAN checks: datawizard results


Reference manual: datawizard.pdf
Vignettes: Data Standardization
Translating to 'tidyverse'


Package source: datawizard_0.5.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): datawizard_0.4.0.tgz, r-oldrel (arm64): datawizard_0.4.1.tgz, r-release (x86_64): datawizard_0.5.0.tgz, r-oldrel (x86_64): datawizard_0.5.0.tgz
Old sources: datawizard archive

Reverse dependencies:

Reverse imports: bayestestR, correlation, effectsize, modelbased, parameters, performance, report, see, sjlabelled, sjPlot, statsExpressions
Reverse suggests: insight, marginaleffects


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