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Info Kit

Now available from JMP®: New Interface to MATLAB

Bring interactive visualization, exploration and analysis to your MATLAB and Simulink models.

JMP® statistical discovery software from SAS combines interactive graphics and powerful statistics for data exploration, visualization and analysis on the desktop.

The JMP interface to MATLAB enables MATLAB users to add:

  • Ad hoc drag-and-drop exploration of your models or data sets.
  • Model optimization through world-class tools for design of experiments.
  • Process improvement and yield optimization through Visual Six Sigma.
  • Advanced modeling techniques for quality, reliability, predictive modeling, screening, and recursive partitioning through more than 60 modeling and visualization platforms.

Register and Download

JMP with MATLAB

This complimentary info kit includes:

Video Demonstration

JMP® Integration with MATLAB

Learn how to use design of experiments, interactive Profilers and drag-and-drop graph building in JMP to augment your MATLAB engineering models and functions. This video will highlight how to:

  • Easily connect to MATLAB from JMP.
  • Execute MATLAB code from JMP.
  • Send data from JMP to MATLAB.
  • Return data and results from MATLAB to JMP for further data visualization and analysis.
White Paper

JMP® Extensibility Synergy with MATLAB

This white paper uses three case studies to demonstrate the benefits of adding JMP to your MATLAB workflow, including:

  • Signal Processing/Fast Fourier Transform (FFT) Application.
  • DOE for Computer Simulation Model Optimization.
  • Genetic Algorithm Optimization Application.
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