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Statistical Computing for SAS Users
This course is designed for users who want to learn how to complement and extend statistical computing of SAS with the S or R system. The course will give SAS users a strong foundation for becoming a versatile programmer.
Benefits
create and manipulate data
use the graphical features of the software to explore data
create and enhance different kinds of plots
fit advanced statistical models
write functions and extend the systems for new data structure
Course Topics
Day 1
An Overview of resources: installation and demonstration, the R project/core; CRAN; the distribution for UNIX and windows systems; the package concept; literature: Venables and Ripley, Chambers and Hastie, other publications.
A Comparison of R and S-PLUS
Quick review of the SAS environment: the OS interface, the data step, macros, procs, reports. Issues of data archiving with SSD format; interfaces to DBMS
Data manipulations in S and R (data frame and matrix operations) and SAS (the data step) -- issues of importing, formatting, transformation, cataloging, exporting
Functions vs macros in SAS for programming repetitive processes.
The iteration models of SAS vs whole-object modeling
Day 2
Statistical modeling support in R/S vs SAS PROCS.
Integrated documentation and example processing in R/S.
Post-processing of function output in R/S vs OUTPUT datasets in SAS.
Specific comparisons: linear modeling, glms, gees, lmes
Report Writing
Extending the systems for new data structures and new algorithms
Course Format
This course consists of a series of short lectures with demonstrations and interactive sessions for the participants. Each student is provided with bound copies of the notes and a CD-ROM containing all example and exercises used on the course.
Duration and Prerequisites
Duration: 2 days
Before attending this course, you should have some basic knowledge of SAS
