Systat 13.2 is a useful incremental release: it doesn’t reinvent the software but makes it more robust and friendlier for routine analysis and figure prep. For users tied to Systat’s GUI or maintaining legacy workflows, it’s worth updating; for new projects or heavy scripting needs, consider supplementing with R or Python.
: Provides quick access to recent files, interface themes, manuals, and tips. Performance & Security :
: For power users relying on command-line scripts rather than menus, the integrated interactive command interface features advanced auto-complete functions. This prevents spelling errors by actively predicting file pathways, variable designations, and argument values as you type. Key Statistical Capabilities systat 13.2
: Direct computation of polynomial regression up to the 8th order on single independent variables.
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A notable feature is the integration of Exact Tests , developed in partnership with Cytel, a leader in clinical trial design. Exact tests provide accurate p-values for small or sparse datasets where standard asymptotic methods can produce misleading results. This is a critical capability for researchers in fields like medicine, ecology, and behavioral science who often work with limited samples. The software also includes a dedicated section for Quality Analysis , featuring Control Charts, Process Capability analysis, and Design of Experiments (DOE) methodologies for Six Sigma and industrial applications.
: These features drastically reduce manual entry errors by providing drop-down variable options and command suggestions as you type. Real-Time Command Recording Performance & Security : : For power users
SYSTAT 13.2 excels at executing fixed-effects multivariable ANOVA and General Linear Models (GLM). A standout feature is its post-hoc polynomial contrast testing. This tool allows scientists to assess relationships across multiple variable levels with exact polynomial forms (such as linear, quadratic, or cubic relationships). It computes the precise coefficients necessary to confirm multivariate trend lines. 2. Mixed Modeling and Longitudinal Data
Analyze relationships between two sets of multivariate variables simultaneously. Specialized Tools
Systat’s graphics engine was historically its crown jewel. In 13.2, you get publication-ready plots: