SYSTAT 13.2 is a professional desktop statistical analysis and graphics software package designed for researchers, scientists, and students. Developed by Cranes Software International and distributed by partners like Grafiti LLC
, it is built to handle complex data analysis while remaining accessible to novices. Informer Technologies, Inc. Key Features and Capabilities Statistical Analysis
: Offers a comprehensive suite of methods, including regression, time series analysis, confirmatory factor analysis, and mixed model analysis (e.g., variance components and hierarchical models). 2D and 3D Graphics
: Provides over 300 scientific chart and graph types, such as heat maps, which are publication-ready and highly customizable. Performance systat 13.2
: Engineered for speed, processing datasets up to 10 times faster than older versions. User Interface
: Features a menu-driven graphical interface with a single window for data, output, and command files. It includes a "Startpage" for quick access to recent files and a "Rescue Report" that saves work in the event of a system crash. Command Recording
: Allows users to record and play back menu and dialog actions, which can be linked to custom menu items for repetitive tasks. System Requirements & Licensing SYSTAT 13
Systat 13.2 Installation Guide - Alfasoft Support & Knowledgebase
Systat 13.2 is a focused maintenance-and-feature release that tightens stability and adds small but practical usability improvements for analysts who still rely on Systat’s classic GUI-driven statistical workflows. Below I summarize the most notable changes, who benefits, and a few quick tips for upgrading or migrating work.
Let’s address the elephant in the room. The Systat 13.2 interface feels like a refined product from the early 2000s. It features toolbar ribbons, a data editor resembling Excel, and a command window. For users accustomed to the sleek interfaces of SPSS or JMP, Systat appears austere. Blog post — Systat 13
However, for power users, this is a virtue. The menu system is logically organized by statistical technique, not by "look." The command language, often overlooked, is incredibly powerful. You can reproduce an entire analysis by saving a log file – a level of reproducibility that click-interface tools struggle to match.
Biostatisticians will appreciate the suite of multivariate techniques: factor analysis, multidimensional scaling, canonical correlation, and MANOVA. Furthermore, the experimental design module supports factorial, fractional factorial, and response surface methodologies.