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>).
| Version: |
1.0.2 |
| Depends: |
R (≥ 3.4) |
| Imports: |
dplyr, rlang, stringr, crayon, ggplot2, tidytext, grDevices, graphics, lubridate, janitor, forcats, knitr, haven, bookdown, stats, DT, readr, tidyr, fs, utils, fabR (≥ 2.0.0), lifecycle |
| Published: |
2023-10-09 |
| Author: |
Guillaume Fabre 
[aut, cre],
Maelstrom-research group [cph, fnd],
Alexandre Trottier [ctb],
Tina Wey [ctb],
Samuel El Bouzaïdi Tiali [ctb] |
| Maintainer: |
Guillaume Fabre <guijoseph.fabre at gmail.com> |
| BugReports: |
https://github.com/maelstrom-research/madshapR/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/maelstrom-research/madshapR |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README NEWS |
| CRAN checks: |
madshapR results |