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madshapR  

Functions to Support Data Management and Processing Using the Maelstrom Research Approach
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("madshapR", "2.0.0")



Attach the package and use:
library("madshapR")
Maintained by
Guillaume Fabre
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-20
Latest Update: 2025-06-27
Description:
Functions to support rigorous processes in data cleaning, evaluation, and documentation across datasets from different studies based on Maelstrom Research guidelines. The package includes the core functions to evaluate and format the main inputs that define the process, diagnose errors, and summarize and evaluate datasets and their associated data dictionaries. The main outputs are clean datasets and associated metadata, and tabular and visual summary reports. As described in Maelstrom Research guidelines for rigorous retrospective data harmonization (Fortier I and al. (2017) ).
How to cite:
Guillaume Fabre (2023). madshapR: Functions to Support Data Management and Processing Using the Maelstrom Research Approach. R package version 2.0.0, https://cran.r-project.org/web/packages/madshapR. Accessed 13 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:27), 1.0.0 (2023-06-20 19:50), 1.0.2 (2023-10-09 15:00), 1.0.3 (2023-12-19 20:10), 1.1.0 (2024-04-23 17:10)
Other packages that cited madshapR R package
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Other R packages that madshapR depends, imports, suggests or enhances
Complete documentation for madshapR
Functions, R codes and Examples using the madshapR R package
Some associated functions: as_category . as_data_dict . as_data_dict_mlstr . as_data_dict_shape . as_dataset . as_dossier . as_taxonomy . as_valueType . bookdown_open . bookdown_render . bookdown_template . check_data_dict_categories . check_data_dict_missing_categories . check_data_dict_valueType . check_data_dict_variables . check_dataset_categories . check_dataset_valueType . check_dataset_variables . check_name_standards . col_id . data_dict_apply . data_dict_collapse . data_dict_evaluate . data_dict_expand . data_dict_extract . data_dict_filter . data_dict_group_by . data_dict_group_split . data_dict_list_nest . data_dict_match_dataset . data_dict_pivot_longer . data_dict_pivot_wider . data_dict_ungroup . data_extract . dataset_cat_as_labels . dataset_evaluate . dataset_preprocess . dataset_summarize . dataset_visualize . dataset_zap_data_dict . deprecated . dossier_create . dossier_evaluate . dossier_summarize . drop_category . is_category . is_data_dict . is_data_dict_mlstr . is_data_dict_shape . is_dataset . is_dossier . is_taxonomy . is_valueType . madshapR-package . madshapR_DEMO . madshapR_help . summary_variables . summary_variables_categorical . summary_variables_date . summary_variables_datetime . summary_variables_numeric . summary_variables_text . valueType_adjust . valueType_guess . valueType_list . valueType_of . valueType_self_adjust . variable_visualize . 
Some associated R codes: 00-import-from-fabR.R . 01-utils.R . 02-dictionaries_functions.R . 03-dataset_functions.R . 04-catalogue_functions.R . 05-unit_checks.R . 06-data_evaluate.R . 07-data_summarise.R . 08-data_visualize.R . deprecated.R . experimental.R . madshapR-package.R .  Full madshapR package functions and examples
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