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SAS is a powerful package with tremendous capabilities. However, no package contains every model, calculation, or graphics option. With SAS 9.2, it is easier to tap into the R programming environment with the SAS/IML Workshop 3.2 application. Many cutting-edge models and statistical graphics are being developed in R. The paper will discuss strategies for using R to complement a SAS analysis. The paper will discuss examples where one has used R to solve problems that one could not have handled easily with SAS alone.
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