What's New

What's New in SAS/IML 9.2


New Features

New to SAS/IML are the following:

For more information about the new features and enhancements in SAS/IML 9.22, see What's New in SAS/IML 9.22.


Modules for Multivariate Random Sampling

New modules have been added to the IMLMLIB library. These modules generate random samples of n observations from multivariate distributions in p variables. See the Module Library documentation for details.

The modules and associated multivariate distributions are as follows:

RANDDIRICHLET
generates a random sample from a Dirichlet distribution (a multivariate generalization of the beta distribution).
RANDMULTINOMIAL
generates a random sample from a multinomial distribution (a multivariate generalization of the binomial distribution)
RANDMVT
generates a random sample from a multivariate Student's t distribution.
RANDNORMAL
generates a random sample from a multivariate normal distribution.
RANDWISHART
generates a random sample from a Wishart distribution (a multivariate generalization of the gamma distribution).


Performance Improvements

Several optimization methods have been implemented to speed up basic matrix operations and improve the efficiency of memory management in SAS/IML. These changes result in faster-running SAS/IML programs.


ODS Statistical Graphics Interface

A new ODSGRAPH call has been introduced that enables you to render graphs created with the new graphics commands that have been added to PROC TEMPLATE. This addition is designed to make it easier for you to create standard graphs and save them in a format of your choice. See the Language Reference chapter for full details about this new call.


BSPLINE Function

A new BSPLINE function has been introduced that computes a B-spline basis for a given numeric input vector, degree, and knot specification. See the Language Reference chapter for a full description of the function and its inputs.


Vector-Matrix Operations

SAS/IML elementwise operations now permit you to specify conforming vector-matrix operations. For example, if v is a 1 by n row vector, and s is an m by n matrix, then the expression v+s evaluates to the addition of v to each row of s. This change was introduced to reduce the need for explicit loops and increase the efficiency of this type of calculation. See the Language Reference chapter for full details of this change.


GEOMEAN and HARMEAN Functions

Two new functions have been added to compute the geometric mean and the harmonic mean of a matrix of positive numbers. See the Language Reference chapter for full details.


New Related Software

SAS/STAT® users will be interested in SAS/IML® Studio, formerly known as SAS® Stat Studio, which is new software for data exploration and analysis. SAS/IML Studio provides a highly flexible programming environment in which you can run SAS/STAT® or SAS/IML® analyses and display the results with dynamically linked graphics and data tables. SAS/IML Studio is intended for data analysts who write SAS® programs to solve statistical problems but need more versatility for data exploration and model building. The programming language in SAS/IML Studio, which is called IMLPlus, is an enhanced version of the SAS/IML programming language. IMLPlus extends SAS/IML to provide new language features, including the ability to create and manipulate statistical graphics, call SAS procedures as functions, and call computational programs written in C, C++, Java, and Fortran. SAS/IML Studio runs on a PC in the Microsoft Windows operating environment.

SAS/IML Studio also includes an experimental interface to the R language. The IMLPlus language includes functions that transfer data between SAS data sets and R data frames, and between SAS/IML matrices and R matrices.

SAS/IML Studio also provides similar interactive functionality to the SAS/INSIGHT® product. It is distributed with the SAS/IML product.