CRAN/E | Rmonize

Rmonize

Support Retrospective Harmonization of Data

Installation

About

Functions to support rigorous retrospective data harmonization processing, 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 harmonization process, apply specified processing rules to generate harmonized data, diagnose processing errors, and summarize and evaluate harmonized outputs. The main inputs that define the processing are a DataSchema (list and definitions of harmonized variables to be generated) and Data Processing Elements (processing rules to be applied to generate harmonized variables from study-specific variables). The main outputs of processing are harmonized datasets, 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).

github.com/maelstrom-research/Rmonize/
Bug report File report

Key Metrics

Version 1.1.0
R ≥ 3.4
Published 2024-05-01 48 days ago
Needs compilation? no
License GPL-3
CRAN checks Rmonize results
Language en-US

Downloads

Yesterday 1 0%
Last 7 days 19 -32%
Last 30 days 142 -58%
Last 90 days 623 -9%
Last 365 days 1.300

Maintainer

Maintainer

Guillaume Fabre

Authors

Guillaume Fabre

aut / cre

Maelstrom-research group

fnd / cph

Material

README
NEWS
Reference manual
Package source

Vignettes

Glossary and templates
Data Processing Elements
Example with Rmonize_DEMO

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Rmonize archive

Depends

R ≥ 3.4

Imports

dplyr ≥ 1.1.0
rlang
stringr
tidyr
crayon
haven
utils
fs
lifecycle
fabR ≥ 2.0.0
madshapR

Suggests

janitor
car
knitr