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Improving SAS code.

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Egeler, Paul W 2018-05-25 12:02:42 -04:00
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@ -22,32 +22,49 @@ possible fields; this has the effect of nesting the output table in a
way that is not useful in most analysis software. Therefore, I have made
a solution to handle the problem in both SAS and R.
## Supported Platforms
- R
- SAS
### Coming Soon
- Python
- VBA
## Instructions
### SAS
1. Run the macro definition in the source editor or using `%include`.
2. Run the SAS code provided by REDCap to import the data BUT COMMENT
THIS LINE:
```format redcap_repeat_instrument redcap_repeat_instrument_.;```
3. Open the data dictionary in MS Excel. We will need to do some pre-
processing to the data dictionary file before reading it in because
some of the user entry points (such as **Field Label**) allows for newline
characters, which can break our data ingestion. MS Excel will read in
the newline characters correctly.
- Copy the first four columns and paste into a new sheet.
- Save the new sheet as a .csv file.
- Close the file.
4. Call the macro, adjusting parameters as needed.
### R
The function definition file contains an example to assist you.
The function definition file contains [roxygen2](https://cran.r-project.org/package=roxygen2) comments to assist you.
1. Run the function definition in the source editor or using `source()`.
2. Download the record dataset and metadata and import them. This can
1. Download the record dataset and metadata. This can
be accomplished either by traditional methods or using the API. The
`read.csv()` function should be able to handle newline characters within
records, so no pre-processing of metadata csv is needed.
3. Call the function, pointing it to your record dataset and metadata
`data.frame`s.
1. Call the function, pointing it to your record dataset and metadata
`data.frame`s.
### SAS
1. Download the data, SAS code to load the data, and the data dictionary from REDCap
1. Run the SAS code provided by REDCap to import the data BUT COMMENT
THIS LINE:
```format redcap_repeat_instrument redcap_repeat_instrument_.;```
1. Run the RECapRITS macro definitions in the source editor or using `%include`.
1. Run the macro call `%REDCAP_READ_DATA_DICT()` to load the data dictionry into your SAS session, pointing to the file location of your REDCap data dictionary.
1. Run the macro call `%REDCAP_SPLIT()`. You will have an output dataset for
your main table as well as for each repeating instrument.
## Issues
Suggestions and contributions are more than welcome! Please feel free to create an issue or pull request.
## About REDCap
This code was written for [REDCap electronic data capture tools](https://projectredcap.org/).^1^ Code for this project was tested on the REDCap instance hosted at Spectrum Health, Grand Rapids, MI. REDCap (Research Electronic Data Capture) is a secure, web-based application designed to support data capture for research studies, providing 1) an intuitive interface for validated data entry; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for importing data from external sources.
## References
^1^Paul A. Harris, Robert Taylor, Robert Thielke, Jonathon Payne, Nathaniel Gonzalez, Jose G. Conde, Research electronic data capture (REDCap) – A metadata-driven methodology and workflow process for providing translational research informatics support, J Biomed Inform. 2009 Apr;42(2):377-81.