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 the processing of inputs into harmonized outputs and the consolidation of harmonized datasets that are well documented and ready for use in analysis.
Processing data using Rmonize depends on three user-provided input elements:
Rmonize uses the input datasets, DataSchema, and Data Processing Elements to process input into harmonized datasets. The package also helps generate reports useful to explore harmonized data content.
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Rmonize helps generate distinct or pooled datasets and associated data dictionaries integrating information from the DataSchema and Data Processing Elements. The package also enables generating reports including descriptive statistics for harmonized datasets.
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