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Rmonize
View on CRAN: Click
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Download and install Rmonize package within the R console
Install from CRAN:
install.packages("Rmonize")
Install from Github:
library("remotes")
install_github("cran/Rmonize")
Install by package version:
library("remotes")
install_version("Rmonize", "1.1.0")
Attach the package and use:
library("Rmonize")
Maintained by
Guillaume Fabre
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-21
Latest Update: 2023-12-21
Description:
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) ).
How to cite:
Guillaume Fabre (2023). Rmonize: Support Retrospective Harmonization of Data. R package version 1.1.0, https://cran.r-project.org/web/packages/Rmonize
Previous versions and publish date:
1.0.1 (2023-12-21 17:30)
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