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datawizard  

Easy Data Wrangling and Statistical Transformations
View on CRAN: Click here


Download and install datawizard package within the R console
Install from CRAN:
install.packages("datawizard")

Install from Github:
library("remotes")
install_github("cran/datawizard")

Install by package version:
library("remotes")
install_version("datawizard", "1.4.0")



Attach the package and use:
library("datawizard")
Maintained by
Etienne Bacher
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-18
Latest Update: 2025-07-17
Description:
A lightweight package to assist in key steps involved in any data analysis workflow: (1) wrangling the raw data to get it in the needed form, (2) applying preprocessing steps and statistical transformations, and (3) compute statistical summaries of data properties and distributions. It is also the data wrangling backend for packages in 'easystats' ecosystem. References: Patil et al. (2022) .
How to cite:
Etienne Bacher (2021). datawizard: Easy Data Wrangling and Statistical Transformations. R package version 1.4.0, https://cran.r-project.org/web/packages/datawizard. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-10-18 01:00), 0.1.0 (2021-06-18 11:30), 0.2.0.1 (2021-09-02 23:10), 0.2.0 (2021-08-17 11:50), 0.2.1 (2021-10-04 09:50), 0.2.2 (2022-01-04 13:10), 0.2.3 (2022-01-26 17:12), 0.3.0 (2022-03-03 01:30), 0.4.0 (2022-03-30 09:20), 0.4.1 (2022-05-16 10:00), 0.5.0 (2022-08-07 17:40), 0.5.1 (2022-08-18 00:50), 0.6.0 (2022-09-15 14:00), 0.6.1 (2022-09-25 16:20), 0.6.2 (2022-10-05 01:50), 0.6.3 (2022-10-22 14:55), 0.6.4 (2022-11-19 20:40), 0.6.5 (2022-12-15 00:50), 0.7.0 (2023-03-22 17:40), 0.7.1 (2023-04-03 13:20), 0.8.0 (2023-06-16 23:40), 0.9.0 (2023-09-15 04:30), 0.9.1 (2023-12-21 17:50), 0.10.0 (2024-03-26 15:20), 0.11.0 (2024-06-05 18:20), 0.12.0 (2024-07-11 14:30), 0.12.1 (2024-07-15 11:00), 0.12.2 (2024-07-21 04:30), 0.12.3 (2024-09-02 14:30), 0.13.0 (2024-10-06 00:40), 1.0.0 (2025-01-10 10:40), 1.0.1 (2025-03-07 11:10), 1.0.2 (2025-03-24 17:10), 1.1.0 (2025-05-09 19:40), 1.2.0 (2025-07-17 14:10), 1.3.0 (2025-10-11 11:40), 1.3.1 (2026-04-26 18:50), 1.4.0 (2026-09-10 14:40)
Other packages that cited datawizard R package
View datawizard citation profile
Other R packages that datawizard depends, imports, suggests or enhances
Complete documentation for datawizard
Functions, R codes and Examples using the datawizard R package
Some associated functions: adjust . assign_labels . categorize . center . coef_var . coerce_to_numeric . colnames . contr.deviation . convert_na_to . convert_to_na . data_arrange . data_codebook . data_duplicated . data_extract . data_group . data_match . data_merge . data_modify . data_partition . data_peek . data_read . data_relocate . data_rename . data_restoretype . data_rotate . data_seek . data_separate . data_tabulate . data_to_long . data_to_wide . data_unique . data_unite . datawizard-package . demean . describe_distribution . distribution_mode . dot-is_deprecated . efc . find_columns . labels_to_levels . makepredictcall.dw_transformer . mean_sd . means_by_group . nhanes_sample . normalize . ranktransform . recode_into . recode_values . reexports . remove_empty . replace_nan_inf . rescale . rescale_weights . reshape_ci . reverse . row_means . rownames . skewness . slide . smoothness . standardize.default . standardize . text_format . to_factor . to_numeric . visualisation_recipe . weighted_mean . winsorize . 
Some associated R codes: adjust.R . assign_labels.R . categorize.R . center.R . contrs.R . convert_na_to.R . convert_to_na.R . data.R . data_addprefix.R . data_arrange.R . data_codebook.R . data_duplicated.R . data_extract.R . data_find.R . data_group.R . data_match.R . data_merge.R . data_modify.R . data_partition.R . data_peek.R . data_read.R . data_relocate.R . data_remove.R . data_rename.R . data_rescale.R . data_restoretype.R . data_reverse.R . data_rotate.R . data_seek.R . data_select.R . data_separate.R . data_tabulate.R . data_to_long.R . data_to_wide.R . data_unique.R . data_unite.R . data_write.R . datawizard-package.R . demean.R . describe_distribution.R . descriptives.R . format.R . labels_to_levels.R . makepredictcall.R . mean_sd.R . means_by_group.R . normalize.R . ranktransform.R . recode_into.R . recode_values.R . remove_empty.R . replace_nan_inf.R . rescale_weights.R . reshape_ci.R . row_means.R . select_nse.R . skewness_kurtosis.R . slide.R . smoothness.R . standardize.R . standardize.models.R . text_format.R . to_factor.R . to_numeric.R . unnormalize.R . unstandardize.R . utils-cols.R . utils-rows.R . utils.R . utils_labels.R . utils_standardize_center.R . visualisation_recipe.R . weighted_mean_median_sd_mad.R . winsorize.R .  Full datawizard package functions and examples
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