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maelstrom-research
madshapR:Support Technical Processes Following 'Maelstrom Research' Standards
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) <doi:10.1093/ije/dyw075>).
Maintained by Guillaume Fabre. Last updated 11 months ago.
2 stars 5.40 score 28 scripts 3 dependents
guifabre
fabR:Wrapper Functions Collection Used in Data Pipelines
The goal of this package is to provide wrapper functions in the data cleaning and cleansing processes. These function helps in messages and interaction with the user, keep track of information in pipelines, help in the wrangling, munging, assessment and visualization of data frame-like material.
Maintained by Guillaume Fabre. Last updated 12 months ago.
1 stars 5.14 score 23 scripts 4 dependents