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.

• 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

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

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 examples and exercises used on the course.

Duration: 2 days

Before attending this course, you should have some basic knowledge of SAS

• Data step, procs and macros
• statistical modeling
  Interested in our training? Please email the
  
  Training Department
  XLSolutions Corporation
  sue@xlsolutions-corp.com