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

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