# Frequently Asked Questions

Below are some frequently asked questions about the sassy meta-package. Click on the links below to navigate to the full question and answer content.

## Index

- What is the sassy system?
- Why did you write the sassy system?
- Does the sassy system require SAS® to be installed?
- Do I need a background in SAS® to use the sassy system?
- Can’t I just install everything individually?
- Is the sassy system validated?
- Is there any training available for the sassy system?

## Content

### What is the sassy system?

Q: I don’t quite understand the concept of the sassy system. What is this set of packages?

A: The sassy package is a meta-package that contains six sub-packages: logr, fmtr, libr, reporter, common, and procs. These six
packages work together as an integrated system. The system was written primarily to make regulatory reporting in R easier. The system borrows several concepts from SAS® software, and that is why it is called sassy.

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### Why did you write the sassy system?

Q: What was the motivation behind writing the sassy packages? There are already +10,000 R packages? Was it really necessary to write more?

A: The sassy packages were written to fill gaps in the way R deals with accessing, formatting, and reporting data, plus the logging of those activities. Some of the functionality of the sassy system is redundant with existing packages. But these packages do not work together, or were not easy to use. The advantage of the sassy packages is that they were written as a complete ecosystem.

For instance, the libr and reporter packages know about the logr package, and will log their operations automatically. Another example is the fmtr package can assign a “format” attribute that can be picked up and used during reporting with the reporter package, or when viewing a data dictionary from the libr package. There are many more ways these packages compliment each other. This integration is something that did not exist in R previously, and makes the sassy system interesting.

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### Does the sassy system require SAS® to be installed?

Q: I am interested in using the sassy system, but I don’t have SAS® installed. Is it required?

A: No. The sassy system is just R packages. They are written mostly in Base R, and require no other software to run.

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### Do I need a background in SAS® to use the sassy system?

Q: I don’t have a background in SAS®. I just know R. Can I use the sassy packages?

A: Yes. No background in SAS® is necessary to use these packages. SAS® users will see some similarity between sassy functions and functions from SAS®. In the end, however, the sassy packages are pure R packages, and can be used effectively by any R programmer. R users will probably find the concepts introduced by the sassy system to be very useful, and more efficient than the equivalent concepts from Base R.

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### Can’t I just install everything individually?

Q: Why do I need to install/load the sassy package? Can’t I just install and load each of the packages independently?

A: Yes, you can. The sassy package just makes it more convenient, in the same way that the tidyverse meta-package makes it more convenient to use the packages in that system.

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### Is the sassy system validated?

Q: My company requires that all software be validated before using in production. Are the sassy packages validated?

A: Yes. The statistical functions were validated by comparing to SAS®. The validation documentation is here. In addition, there are Installation Qualification (IQ) and Operational Qualification (OQ) routines included in the sassy package for all sub-packages. See the `run_iq()` and `run_oq()` documentation for additional information on these routines.

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### Is there any training available for the sassy system??

Q: I’d like to get some more structured training on the SASSY packages. Is there a training course?

A: Yes. There is a video training course on YouTube. Please refer to this page for links to each of the training videos.

The author of the sassy packages is also available for instructor-led training. For more information, please contact the package author/maintainer via email.

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