We will introduce the new features of the latest versions, "JMP 19" and "JMP Pro 19," released in September 2025.
On this page, we will introduce the analysis and graph functions by category.
table of contents
1. Data filters: filtering multiple response values, etc.
2. Graph Builder: Multiple Y-axis displays, arrow charts, etc.
3. Univariate Distribution: Specifying the Distribution of Tolerance Intervals
4. Bivariate relationships: Games-Howell test, ratio comparison test
5. Fitting the Model
6. Profile
7. Process screening (environmental monitoring)
8. Control Charts and Triage
9. Experimental Design
10. Sample Size Explorer
11. Bayesian Optimization (JMP Pro)
12. Causal Inference (JMP Pro)
13. Generalized Linear Mixed Models (GLMM), Linear Mixed Models (LMM) (JMP Pro)
14. Functional Data Explorer (JMP pro)
*Note: This video was created using JMP 19.0.1. Operation methods may change with future version updates.
1. Data Filtering: Filtering with Multiple Response Values, etc. (5 minutes 44 seconds)
- Filtering by values of multiple responses
- Multiple condition selection
2. Graph Builder: Multiple Y-Axis Displays, Arrow Charts, and More (15 minutes 22 seconds)
- Multiple Y-axis display: Display different axis scales simultaneously
- Arrow Chart: "Arrow" connection option for lines
- Expanded point shift options: Add direction (positive, negative, center) and type (hexagonal grid, bead worm)
- Specifying constraints for smooth lines (P-Spline)
- Display binomial confidence intervals: Display the estimated proportion and confidence interval when the response variable has two levels
3. Univariate Distribution: Specifying the Distribution of Tolerance Intervals (2 minutes 57 seconds)
- In addition to normal distribution, tolerance intervals can now be specified for log-normal, gamma, exponential, and other distributions.
4. Bivariate Relationships: Games-Howell Test, Ratio Comparison Test (6 minutes 27 seconds)
- Games-Howell test
- Comparison of ratios by Fieller method
5. Fitting the Model (7 minutes 34 seconds)
- Fitting a B-spline model
- Comparing slopes in analysis of covariance
6. Profile (11 minutes 1 second)
- Optimization Settings Panel: Easily configure responses, factors, and optimizations
- Extending simulation experiments: Finding factor settings that minimize non-conformance rates through simulation
- Contour grid with filled contours and data points
7. Process Screening (Environmental Monitoring) (7 minutes 36 seconds)
- Control chart types include frequency, non-negative continuous values, and percentages.
- JMP Live, interactive process control with interactive HTML
8. Control Charts and Triage (9 minutes 44 seconds)
- Triage warnings by uploading control chart reports to JMP Live
9. Experimental Design (5 minutes 41 seconds)
- Setting additional runs and center points in definitive screening designs (DSD)
- Experimental Design Explorer supports comparison of designs such as DSD and NOA
- Displaying VIF in "Estimated Efficiency" for Custom Designs
10. Sample Size Explorer (4 minutes 30 seconds)
- Sample size for tolerance intervals (parametric and nonparametric)
- Sample size for single sampling plans
- Sample size for correlated two-sample means
- Save report in .JMPDOE format
Here's what's new in JMP Pro 19:
11. Bayesian Optimization (8 minutes 8 seconds)
- Efficient optimization: Create a model based on existing data and determine the next sample point
- A Gaussian process model for each response is fitted, and the optimal conditions are searched for by repeatedly updating the model starting from existing experimental data.
- Adaptive experimental design promises to reduce time and resources
12. Causal Inference (7 minutes 52 seconds)
- Use observed data to estimate latent outcomes and average treatment effects (ATE)
- In Fit Model, select "Causal Treatment Effects" as the method.
- Three estimation methods are provided: IPWR (inverse probability weighting), REGADJ (regression adjustment), and AIPW (doubly robust).
- Visualizations to check assumptions, explanations and interpretations in reports
- Supports propensity score matching method
13. Generalized Linear Mixed Models (GLMM), Linear Mixed Models (LMM) (3 minutes 34 seconds)
- Ordinal logistic in generalized linear mixed models (GLMM)
- Sandwich Dispersion
14. Function Data Explorer (3 minutes 6 seconds)
- Baseline correction (SNIP method, ARWLS method)
- Parametric peak models (Gaussian and Lorentzian methods)
