From here you will find a brief description of numerous mathematical and statistical packages, where you can access these packages, and links to tutorials and frequently asked questions.

Click on the name of a software to be taken to a description, list of places for how you can access it, FAQs, and more.

AMOS

AMOS is used for modeling linear structural relations among latent (unobserved) and manifest (observed) variables. You can use this software to estimate structural equation models (SEMs), exploratory and confirmatory factor analyses, and path analyses. AMOS features an intuitive graphical-user interface and superior handling of missing data.

Version 18 is available at the following location:

AMOS FAQs
AMOS Tutorial(s) Developed by SDS Staff


HLM

HLM stands for Hierarchical Linear Modeling, the modeling of data arising from clustered populations such as students nested within classrooms nested within schools. While other software products contain facilities to handle clustered data to a greater or (more often) lesser extent, HLM was explicitly designed to fit linear and non-linear models to such data.
Version 6 is available at the following locations:

HLM FAQs
HLM Tutorial(s) Developed by SDS Staff


IMSL

The IMSL Numerical Libraries contains over one thousand Fortran and C subroutines and functions. These routines provide easy access to high quality implementations of numerical methods in mathematics and statistics.
IMSL is available at the following locations:

  • ITS Unix time sharing server

Visual Numerics, the developer of IMSL, offers tips and FAQs, C libraries, an alphabetized list of functions, and more.


JMP

JMP is produced by SAS and offers most of the statistical analyses that SAS does but in an interactive mode. JMP is user-friendly in that it uses dialog boxes and allows you to interact with your data and output. JMP can "talk" to SAS using the JMP language if SAS is available on the machine.

JMP is available at the following location:

JMP Technical Support provides a list of FAQs, White Papers, and Webcasts to help you learn the software.


LISREL

LISREL and its data pre-processing companion PRELIS are used for modeling linear structural relations among latent (unobserved) and manifest (observed) variables. You can use this software to estimate structural equation models (SEMs), exploratory and confirmatory factor analyses, and path analyses. LISREL is well-suited to fitting large, complex models.

Version 8.80 is available at the following locations:

LISREL FAQs

LISREL Tutorial(s) Developed by SDS Staff


Maple

Maple is a comprehensive computer system for advanced mathematics. It includes facilities for interactive algebra, calculus, discrete mathematics, graphics, numerical computation and many other areas of mathematics. It also provides a unique environment for rapid development of mathematical programs using its vast library of built-in functions and operations.
Maple is currently only offered through The Campus Computer Store.

Maple FAQs

Maple Tutorial(s) Developed by SDS Staff

The Maple website covers topics including product information, tutorials, FAQs, and free add-on packages contributed by Maple users from around the world.


Mathematica

Mathematica is a powerful tool to carry out and present the results of numeric, symbolic and graphical calculations. The applications of Mathematica span all areas of science, technology, and business where quantitative methods are used.

Version 8 is available at the following locations:

• Campus Labs: WEL 2.128 and 2.144
• Physics-Math-Astronomy Library* (RLM 4th floor) and Engineering Library* (ECJ 1.302)
• ITS Unix time sharing server
Stat Apps Server

Version 7 is available at the following location:

• Campus Lab: RLM 7.306

*Computers have 1-hour time limit

Mathematica FAQs

Mathematica Tutorial(s) Developed by SDS Staff

Mathematica Technical Support provides online documentation, help with installation, forums, screencasts, training, demo projects, and more.


Matlab

The name Matlab is short for Matrix Laboratory. As this name implies, Matlab uses matrices as its fundamental building blocks to carry out high performance numerical analysis, signal processing and scientific visualization tasks.

Version 2011 is available at the following locations:

Version 2010 is available at the following location:

  • Campus Labs: RLM 7.306

*Computers have 1-hour time limit

Matlab Tutorial(s) Developed by SDS Staff

Mathworks, Inc. has on-line documentation to help you get started and explore the numerous functionalities of Matlab and Simulink.


Minitab

Once used mostly for instructional purposes, Minitab has upgraded its software to make it more user-friendly and useful for the researcher while simultaneously keeping the small disk space and RAM requirements that has made it a favorite with instructors.

Versions 15 and 16 are available at the following location:

Minitab FAQs

MINITAB's Answers website provides a list of the most frequently asked support questions and their answers.


Mplus

Mplus is used for modeling linear structural relations among latent (unobserved) and manifest (observed) variables. You can use this software to estimate structural equation models (SEMs), exploratory and confirmatory factor analyses, and path analyses. Mplus is useful for databases with categorical outcome variables and clustered or hierarchical data (multilevel models).

Mplus is available at the following location:

Mplus FAQs

Mplus Tutorial(s) Developed by SDS Staff


Python

Version 2.7 is available at the following locations:

  • Campus Labs: MEZ 2.104

Version 2.6 is available at the following locations:

  • PCL* (2nd floor), Physics-Math-Astronomy Library* (RLM 4th floor), Engineering Library* (ECJ 1.302)

*Computers have 1-hour time limit


R

Version 2.15.0 is available at the following locations:

• Campus Labs: ACA 1.124 and 1.126

Version 2.14.0 is available at the following locations:

R can be downloaded freely HERE.


Sample Power

Sample Power allows researchers to compute power and the required number of cases for most ANOVA, ANCOVA, and regression analyses using an intuitive graphical interface.

Version 2 is available at the following locations:


SAS

SAS is a full-featured information delivery product. Statistical analyses, data mining, high-resolution graphics, and matrix operations are among a few of its many features. This is the most powerful software we support, but also the most difficult to master.

Version 9.3 is available at the following locations:

SAS FAQs

SAS Tutorial(s) Developed by SDS Staff

SAS Online Documentation provides full documentation of SAS software, including the data step and STAT procedures such as regression, ANOVA, categorical data analysis, multivariate procedures, and more. For each SAS/STAT procedure, syntax rules and examples are provided.

SAS Global Forum (Previously called SUGI Proceedings) provides full text of presentations made at the conference of SAS Users' Group International, including such topics as: "How to Use the Data Step Debugger," "Web Publishing in SAS Software," "Anyone can learn PROC TABULATE," "PROC MEANS: More than just your average procedure," "Using Macro functions," "Determining curvilinear relationships in PROC REG," "Getting started with PROC LOGISTIC," "Custom design of complicated block experiments," and more.


SPSS

SPSS is the most popular general statistical package on campus. We offer four self-paced tutorials covering SPSS: Getting Started, Statistics, Displaying Data, and Data Manipulation and Advanced Topics.

Version 21 is available at the following locations:

SPSS FAQs

SPSS Tutorial(s) Developed by SDS Staff

SPSS FTP site contains fixes, scripts, macros, and sample data sets. Plus: Have you ever wondered exactly which equations SPSS uses to calculate a Wilcoxon sign-rank test, to perform a K-means cluster analysis, or to produce a Greenhouse-Geisser test of within-subject effects? Now you can find out in the SPSS algorithms document.


Stata

Lean on disk space requirements yet packed with advanced statistical features, Stata is a favorite among analysts who have clustered or hierarchical data and data obtained via non-random sampling methods such as stratified sampling.

Version 12 is available at the following location:

Version 10 is available at the following location:

  • Campus Labs: MEZ 2.104


SUDAAN

SUDAAN is a program designed to perform analyses of clustered (hierarchically structured) data or responses obtained via non-random sampling processes. Unlike hierarchical linear modeling programs such as HLM, SUDAAN allows investigators to consider sampling weights and data clustering simultaneously. It has two distinct versions: A stand-alone version and a SAS-callable version. The SAS-callable version allows SAS users to run SUDAAN procedures directly within SAS, a useful feature.

Version 10 is available at the following locations: