A superior approach to standard regression that handles multi-collinearity and selects variables automatically.
The in version 17 acts as a visual macro recorder. It captures data cleaning, graphing, and modeling steps, automatically translating them into clean JSL code. This allows non-programmers to automate repetitive tasks and share standardized analytical applications across teams. Python and R Integration
A clinical trial manager uses JMP 17 Pro to analyze dissolution curves of a new drug tablet. Using the Functional Data Explorer, they identify that a specific compression force creates a lag phase in the dissolution curve. They use the DOE platform to run a reduced factorial design, optimizing the formulation in seven runs instead of thirty.
If you have never used JMP Pro, version 17 is the perfect entry point. If you are a veteran user, the speed improvements and workflow automation will pay back the upgrade cost within weeks. Visit the official SAS JMP website to download the trial and see your data in a new dimension. jmp 17 pro
FDE allows users to model data that flows as a continuous curve or signal over time, pressure, or temperature. Version 17 Pro adds smoother knots selection and better integration with DoE, transforming raw sensor curves into actionable process setpoints. 3. Structural Equation Modeling (SEM)
Identify vital factors quickly in fewer experimental runs.
Data cleaning often consumes the majority of an analyst's time. JMP 17 Pro mitigates this with: A superior approach to standard regression that handles
While standard JMP is a phenomenal tool for general statistical analysis, JMP Pro is required for organizations looking to deploy advanced analytics. Standard JMP JMP 17 Pro Advanced Machine Learning Yes (Neural Nets, Random Forests, Gradient Boosting) Cross-Validation Options Automated via Validation Columns Functional Data Analysis Yes (Functional Data Explorer) Structural Equation Modeling Text Analytics Advanced (Latent Class Analysis)
Unlike its standard counterpart, JMP Pro 17 is designed for those who require advanced capabilities: sophisticated predictive modeling, machine learning algorithms, extensive simulation methods, and specialized analyses in fields like genomics and chemometrics. This article provides a comprehensive look at what makes JMP 17 Pro a standout choice for professionals seeking to move beyond traditional statistics.
is a powerhouse for advanced statistical analysis and predictive modeling. This version is packed with massive improvements specifically geared toward data scientists, engineers, and researchers handling complex, multi-variable data. This allows non-programmers to automate repetitive tasks and
A yield engineer imports a 5-million-row dataset of wafer test probes. Using in JMP 17 Pro, they color-code failing bits by spatial location on the wafer. They then use the Model Screening tool to automatically try 20 different machine learning models to predict fail rates based on 50 input sensors, finding that a Boosted Tree model isolates a specific etching step as the root cause.
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