Get started
To start using Rmonize, install the package and see a simple example of processing.
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Harmonizing data using Rmonize is generally an iterative process requiring a phase of preparation, followed by processing inputs into harmonized outputs, validation, and consolidation, to produce well documented harmonized datasets that are ready for use in analysis.
Prepare the input elements
Processing data using Rmonize depends on three user-provided input elements:
Process inputs into harmonized outputs
Rmonize uses the input datasets, DataSchema, and Data Processing Elements to process input into harmonized datasets. The package can also generate reports that are useful for understanding and validating harmonized data content.
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Secure harmonized outputs
Rmonize generates individual or pooled datasets and associated data dictionaries that integrate information from the DataSchema and Data Processing Elements. The package can also generate reports with descriptive statistics and visual summaries to describe and document the harmonized datasets.
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