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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
bullet create and manipulate data
bullet use the graphical features of the software to explore data
bullet create and enhance different kinds of plots
bullet fit advanced statistical models
bullet write functions and extend the systems for new data structure
Course Topics

Day 1

bullet 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.
bullet A Comparison of R and S-PLUS
bullet 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
bullet Data manipulations in S and R (data frame and matrix operations) and SAS (the data step) -- issues of importing, formatting, transformation, cataloging, exporting
bullet Functions vs macros in SAS for programming repetitive processes.
bullet The iteration models of SAS vs whole-object modeling

Day 2

bullet Statistical modeling support in R/S vs SAS PROCS.
bullet Integrated documentation and example processing in R/S.
bullet Post-processing of function output in R/S vs OUTPUT datasets in SAS.
bullet Specific comparisons: linear modeling, glms, gees, lmes
bullet Report Writing
bullet

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

bullet Data step, procs and macros
bullet statistical modeling

Interested in our training? Please email the

Training Department
XLSolutions Corporation
sue@xlsolutions-corp.com

 
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