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@ -15,15 +15,13 @@ experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](h
REDCap database casting and handling of castellated data when using repeated instruments and longitudinal projects. REDCap database casting and handling of castellated data when using repeated instruments and longitudinal projects.
This package is a fork of [pegeler/REDCapRITS](https://github.com/pegeler/REDCapRITS). The `REDCapRITS` represents great and extensive work to handle castellated REDCap data in different programming languages. This fork is purely minded on R usage and includes a few implementations of the main `REDCap_split` function. The `REDCapRITS` as well as `REDCapCAST` would not be possible without the outstanding work in [`REDCapR`](https://ouhscbbmc.github.io/REDCapR/). This package is a fork of [pegeler/REDCapRITS](https://github.com/pegeler/REDCapRITS). The REDCapRITS represents great and extensive work to handle castellated REDCap data in different programming languages. This fork is purely minded on R usage and includes a few implementations of the main `REDCap_split` function.
## What problem does `REDCapCAST` solve?
I started working on this project as the castellated longitudinal data set was a little challenging. Later, I have come to learn of the [`redcapAPI`](https://github.com/vubiostat/redcapAPI) package, which would also cover this functionality. I find the `redcapAPI`package quite advanced and a little difficult to work with. This have led to the continued work on this package, as an easy-to-use approach for data migration, data base creation and data handling. This package is very much to be seen as an attempt at a R-to-REDCap-to-R foundry for handling both the transition from dataset/variable list to database and the other way, from REDCap database to a tidy dataset. The goal was also to allow for a "minimal data" approach by allowing to filter records, instruments and variables in the export to only download data needed. I think this approach is desirable for handling sensitive, clinical data. Please refer to [REDCap-Tools](https://redcap-tools.github.io/) for other great tools for working with REDCap in R. I started working on this project as the castellated longitudinal data set was a little challenging. Later, I have come to learn of the [`redcapAPI`](https://github.com/vubiostat/redcapAPI) package, which would also cover this functionality. I find the `redcapAPI`package quite advanced and a little difficult to work with. This have led to the continued work on this package, as an easy-to-use approach for data migration, data base creation and data handling. This package is very much to be seen as an attempt at a R-to-REDCap-to-R foundry for handling both the transition from dataset/variable list to database and the other way, from REDCap database to a tidy dataset. The goal was also to allow for a "minimal data" approach by allowing to filter records, instruments and variables in the export to only download data needed. I think this approach is desirable for handling sensitive, clinical data. Please refer to [REDCap-Tools](https://redcap-tools.github.io/) for other great tools for working with REDCap in R.
For any more advanced uses, consider using the [`redcapAPI`](https://github.com/vubiostat/redcapAPI) or [`REDCapR`](https://ouhscbbmc.github.io/REDCapR/) packages. For any more advanced uses, consider using the `redcapAPI` package.
## Main functionality ## Use and immprovements
Here is just a short description of the main functions: Here is just a short description of the main functions: