Other packages > Find by keyword >

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 04 Jun. 2026.
Previous versions and publish date:
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
View madshapR citation profile
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA