Learn more about JMP Capabilities:
- Advanced Statistical Modeling
- Automation and Scripting
- Basic Data Analysis and Modeling
- Consumer and Market Research
- Content Organization
- Data Access with JMP
- Data Blending and Cleanup
- Data Exploration and Visualization
- Design of Experiments
- Mass Customization
- Predictive Modeling and Machine Learning
- Quality and Process Engineering
- Reliability Analysis
- Sharing and Communicating Results
Advanced Statistical Modeling
Multivariate analysis
- Principal components analysis (PCA)
- Clustering
- Correlation analysis
- Factor analysis
- Multidimensional scaling
- Structural equation modeling (SEM) PRO
- Discriminant analysis
- Multiple correspondence analysis
- Latent class analysis
- Partial least squares (PLS)
- t-SNE
Nonlinear modeling
- Dissolution
- Nonlinear regression
- Gaussian process model PRO
- Spline fitting
- Fit curve
Time series
- ARIMA
- Seasonality
- Autocorrelation
- Moving average
- Auto regressive (AR)
Advanced regression
- Generalized regression PRO
- Mixed models
- Generalized linear models
- GLMM PRO
- Penalized regression PRO
- Random effects
Variable selection
- Predictor screening
- Variable importance
- Stepwise
- All possible models
- Column contributions
Functional data analysis
- Spectral analysis PRO
- Wavelet analysis PRO
- Smoothing PRO
- Savitzky-Golay smoothing PRO
- Functional DOE PRO
- B-Spline PRO
- P-Spline PRO
- Fourier basis PRO
Process optimization
- Profiling
- Simulation
- Trade space analysis
Automation and Scripting
Script and Add-ins
- Action recording
- Save table scripts
Integration
- R
- Python
- SAS
- MATLAB
Automation
- Workflow builder
- Action recording
- Automating routine tasks
Basic Data Analysis and Modeling
Distribution fitting
- Normal
- Poisson
- Weibull
- Exponential
- LogNormal
- Test for normality
Basic hypothesis testing
- t-Test
- Paired t-test
- ANOVA
- Equivalence testing
- Superiority
- Non-inferiority
- Chi-squared test
- Nonparametric tests
- Effect size
- ANOM
- Exact test
- Odds ratio
- Relative risk
- MANOVA
- Robust
- Unequal variance
Interval estimation
- Confidence interval
- Tolerance interval
- Prediction interval
- Margin of error
- Error bars
Power and sample size
- Statistical power
- Sample size calculation
Regression
- Correlation
- Simple least squares
- Multiple linear regression
- Logistic regression
- Stepwise
- Poynomial regression
- Spline fitting
- Inverse prediction
Resampling
- Bootstrapping
- Permutation test
- Sampling with replacement
- Simulation
Consumer and Market Research
Segmentation
- Clustering
- Hierarchical clustering
- K-means clustering
- Self-organizing maps (SOM)
- Discriminant analysis
- Multidimensional scaling
Explanatory Modeling
- ANOVA
- Regression
Survey Analysis
- Latent Class Analysis PRO
- Correspondence analysis
- Odds ratios
- Relative risk
- Item analysis
- Categorical data analysis
- Text analysis PRO
- Factor analysis
- Structural equation modeling (SEM) PRO
Text Analysis
- Sentiment analysis PRO
- Topic analysis
- Latent semantic analysis PRO
- Text regression
- Term selection PRO
Market Basket Analysis (Association Rules, Affinity Analysis) PRO
Experimentation
- A/B testing
- Choice PRO
- Conjoint PRO
- MaxDiff PRO
- Uplift PRO
Factor Analysis
- Structural equation modeling (SEM) PRO
- Exploratory factor analysis
- Confirmatory factor analysis PRO
- Path diagram PRO
Content Organization
Dashboards
- Combine windows
- Filters
Reporting
- Save report
- Save JMP journal
- Save to PowerPoint
JMP Live (separate product)
- Hierarchical folders
- Data refresh
- Spaces
Applications
Projects
Data Access with JMP
Import data
- Text
- Excel
- XML
- JSON
- SAS
- Multiple files
- R
- Python
- MATLAB
Query database
- Data warehouse
- Data lake
- Data historian
- SQL
- ODBC
Web scraping
- API
- Internet open
- Google Sheets
Data connector
- Custom data interface
- OSISoft PI connector
Data Blending and Cleanup
Shaping tables
- Subset
- Sort
- Stack
- Split
- Transpose
- Deleting columns
- Deleting rows
- Grouping columns
- Rearranging columns
- Adding rows
- Adding columns
Merging data
- Join
- Concatenate
- Update
Metadata
- Data types
- Modeling types
- Standardizing attributes
Anomaly detection
- Unusual observations
- Outlier detection
Missing data
- Imputation
- Informative missing
- Missing data pattern
Data cleanup
- Recoding
- Editing data values
- Excluding values
- Hiding values
- Finding matching cells
Transforming data
- Derived variables
- Feature creation
- Data transformations
- Binning data
- Indicator variable
- Dummy variable
Data workflow
- Saving scripts
- Repeatability
- Workflow builder
Data Exploration and Visualization
Graphing
- Histogram
- Box plot
- Scatterplot
- Scatterplot matrix
- Bar chart
- Heat map
- Pie chart
- Tree map
- Mosaic plot
- Parallel plot
- Run chart
- Line chart
- Profiler
- Comparative box plots
- Variability chart
- Bubble plot
- Surface plot
- Contour plot
- Ternary plot
- Pareto plot
- Overlay
Data summary
- Mean
- Standard deviation
- Median
- Frequency
- Variance
- Quantiles
- Robust
Tabular summaries
- Pivot tables
- Contingency tables
- Crosstab
Geographic maps
- X-Y map
- Shape files
Filtering
- Subgrouping
Dashboards
- Applications
Explore text
- Word cloud
- Unstructured data
Design of Experiments
Textbook Designs (Classical Designs)
- Full factorial
- Fractional factorial
- Response surface (RSM)
- Blocking designs (RCBD, CBD, IBD, RIBD)
- Split-plot design
- Strip-plot design
- Mixture design
Optimal Designs
- Custom design
- Optimality criteria
- Constrained designs
Screening Designs
- Definitive screening
- Fractional factorial
Robust Designs
- Taguchi array
- Taguchi design
- Noise factor
DOE Concepts (DOE Techniques)
- Randomization
- Replication
- Center points
- Blocking
- Sequential experimentation
- Augment design
Special Purpose Designs
- Space filling
- Covering array PRO
- Choice
- MaxDiff
- Nonlinear design
Evaluate Design
- Design comparison
- Design explorer
- Design diagnostics
- Power
- Aliasing
Mass Customization
Scripts and Add-Ins
Preferences
- Share preferences
- Save to preferences
- Import preferences
Custom Menus
- Custom Toolbars
Custom Themes (Custom Styles)
- Colors
- Fonts
Application Builder
Predictive Modeling and Machine Learning
Regression
- Multiple linear regression
- Logistic regression
- Generalized regression PRO
- Quantile regression PRO
- Penalized regression PRO
- Regularized regression PRO
- LASSO PRO
- Elastic net PRO
- Ridge PRO
Decision Trees
- Bootstrap forest PRO
- Boosted tree PRO
- Random forest PRO
- Gradient boosting PRO
- Partition
- Recursive partitioning
Other Predictive Models
- k-NN PRO
- Naïve Bayes PRO
- SVM PRO
- Discriminant
- Multiple linear regression
- Logistic regression
- Generalized regression PRO
- Quantile regression PRO
- Penalized regression PRO
- Regularized regression PRO
- LASSO PRO
- Elastic Net PRO
- Ridge PRO
- Bootstrap forest PRO
- Boosted tree PRO
- Random forest PRO
- Gradient boosting PRO
- Partition
- Recursive partitioning
Validation (Crossvalidation)
- K-fold validation PRO
- Data partitioning PRO
- Holdout PRO
- Holdback PRO
Model Selection
- Model screening PRO
- Model comparison PRO
- Confusion matrix
- Model averaging
- Ensemble
- Profit matrix
Model Deployment
- Scoring
- Scoring code
- Model management PRO
- Formula Depot PRO
- Prediction formula
Text Mining (Text Analysis)
- Latent class analysis
- Latent semantic analysis
- Sentiment analysis
- Term selection
Quality and Process Engineering
Statistical Process Control (Shewhart Control Chart)
- IR
- Xbar R
- Xbar S
- P
- NP
- C
- U
- CUSUM
- EWMA
- UWMS
- Multivariate control chart
- Western Electric rules
- Tests for special causes
Process Capability (Capability Index)
- Cp
- Cpk
- Pp
- Ppk
- Specification limits
- Goal plot
- Capability
- Performance
Quality Assessment (Process Screening)
- Stability index
- Quality review
- Shift detection
- Process performance
Measurement System Analysis (Gage R&R)
- Evaluate Measurement Process (EMP)
- Variability chart
- Linearity, bias
- Kappa
- Agreement
- Attribute Gage R&R
- Variance components
- MSA design
Quality Improvement (Six Sigma)
- Pareto Chart
- Cause-and-effect diagram (fishbone, Ishikawa)
Acceptance Sampling
- OC Curves
Reliability Analysis
Time to Failure Analysis
- Survival
- Fit Parametric Survival
- Fit Proportional Hazards
- Kaplan-Meier
- Hazard analysis
Component Reliability
- Life Distribution
- Fit Life by X
- Cumulative damage
- Degradation
- Destructive degradation
- Repeated measures degradation
- Accelerated testing
- Bayesian Reliability analysis
System Reliability
- Reliability growth
- Reliability block diagram (RBD) PRO
- Repairable systems simulation (RSS) PRO
- Recurrence analysis
- Repairable system
- Non-repairable system
Reliability Planning (Reliability Design)
- RBD PRO
- RSS PRO
- Accelerated life test design
- Reliability test plan
- Reliability forecast
Sharing and Communicating Results
Share on Web (Cloud)
- JMP® Live
- Publish results
- Interactive HTML
Dashboard
- Application
Journal (Notebook)
Workflow
- Reproducible workflow
Export Results
- Save to PowerPoint
- Publication quality graphics
- GIFs
PRO = Features exclusive to JMP® Pro
