The procs package contains functions to simulate procedures from SAS® software. The intention of the package is to ease transition to R adoption by providing SAS® programmers a familiar conceptual framework and functions that produce nearly identical output.
Despite having similar analytical capabilities, SAS® and R are very different languages. The procs package helps SAS® users become productive in R by offering functions that mimic SAS® procedures. The functions have a similar syntax, and produce similar output. Most importantly, the functions aim to match SAS® statistical results to a high precision. This achievement will foster smoother transitions from one language to another, and reduce delays in explaining the differences in statistical output.
The procs package contains the following major functions:
proc_freq: Performs frequency counts and statistics.
proc_means: Generates summary statistics.
proc_ttest: Performs hypothesis testing.
proc_reg: Performs regression testing.
proc_transpose: A function to pivot datasets.
proc_sort: Sorts and dedupes a dataset.
proc_print: An easy dataset print function.
See function documentation for additional details.
Useful links: