sassy"

In sassy: Makes 'R' Easier for Everyone

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The sassy package is a meta-package that aims to make R easier for everyone, especially people with a background in SAS®. The package brings several useful SAS® concepts to R, including data libraries, formats and format catalogs, data dictionaries, a data step, a traceable log, and a reporting package with a variety of printable report types.

The core of the sassy system is the procs package. This package contains replications of several SAS® procedures: proc_freq(), proc_means(), proc_transpose(), and proc_sort(). Combined with the datastep() function from the libr package, you can write code in R that very much resembles what you would write in SAS®. These functions provide a higher-level programming interface than is typically found in R, and can therefore make your analysis more efficient and productive.

Included Packages

The sassy meta-package contains the following packages:

• logr: Produces a traceable log
• fmtr: Provides functions for formatting data and a creating a format catalog
• libr: Gives you the ability to define a libname, generate a data dictionary, and simulate a data step
• reporter: A reporting package with easy layout capabilities and the ability to write reports in TXT, RTF, PDF, and DOCX file formats
• common: A set of utility functions shared across the sassy family of packages, and often useful in their own right.
• procs: A set of functions that simulate SAS® procedures. Package includes simulations of PROC FREQ, PROC MEANS, PROC TRANSPOSE, PROC SORT, and PROC PRINT.

The above links will take you into the respective packages for a deep dive on their capabilities.

Next Steps

Before taking a deep dive into the sassy package documentation, please look at some examples. These examples will give you a feel for the overall flow of a sassy-enhanced program, and allow you to see how the functions work together.

The following examples are provided on this site:

• Example 1: Creates a simple data listing and log
  

• Example 2: Creates a table of demographic characteristics
  
  

• Example 3: Creates a simple figure
  

• Example 4: Creates an AE table with a page wrap
  

• Example 5: Creates a table of vital signs statistics
  

• Example 6: Creates a figure with a by-group
  

• Example 7: Perform survival analysis.
  

• Example 8: Create a patient profile report.
  

• Example 9: Create a figure with a forest plot.
  

• Example 10: Create a subject disposition table.
  

• Example 11: Create a subject listing with vital signs by visit.
  

• Example 12: Create a combined figure of age groups by treatment.
  

Once you review these examples, please proceed to the package links above to explore the system further!

sassy documentation built on Sept. 8, 2023, 5:21 p.m.